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Experience Level
Entry Level
About the job
NielsenIQ is seeking a Data Operations Analyst based in Chennai. The position centers on managing and refining data operations to help drive sound business decisions. The analyst will play a key part in maintaining reliable data processes that support organizational objectives.
What you will do
Oversee and enhance data operations across multiple platforms
Collaborate with teams from different functions to strengthen data workflows
Contribute to business outcomes by maintaining accurate and efficient data handling
Requirements
Strong analytical abilities
Background in data operations or similar areas
Comfort working with colleagues across departments
Role overview NielsenIQ is seeking a Data Operations Analyst based in Chennai. The position centers on managing and refining data operations to help drive sound business decisions. The analyst will play a key part in maintaining reliable data processes that support organizational objectives. What you will do Oversee and enhance data operations across multipl…
Join our innovative team at Moving Walls India Pvt Ltd as a Data Engineer, where you will play a crucial role in driving data solutions and analytics to support our business objectives. We are looking for a passionate individual who thrives in a fast-paced environment and is eager to tackle complex data challenges.
About Gen Digital Gen Digital is a global company focused on digital freedom and security. Our brands include Norton, Avast, LifeLock, and MoneyLion, serving nearly 500 million users in over 150 countries. We provide cybersecurity, online privacy, identity protection, and financial wellness products. Our mission centers on helping people manage and secure their digital and financial lives. We value diverse experiences and ideas, and we see AI as a partner for innovation. Gen Digital encourages autonomy, supports career growth, and offers flexible work options, generous time off, competitive pay, and wellness programs. The company culture emphasizes customer satisfaction, open discussion, experimentation, and continuous learning. Team members collaborate in an environment that respects and values differences as strengths. Senior Staff Data Engineer – Role Overview The Senior Staff Data Engineer will serve as a senior technical leader within the organization. This role focuses on designing and implementing large-scale data solutions that support Gen Digital’s cybersecurity platform strategy. The position combines deep technical skill with organizational influence. Key responsibilities include: Designing complex data architectures for enterprise-scale needs Implementing solutions that support a multi-petabyte data infrastructure Mentoring and guiding engineering teams Shaping the technical vision for data systems serving millions of users Location Chennai, India
About Us:BigID is a pioneering tech startup specializing in cutting-edge solutions for data security, compliance, privacy, and AI data management. We are at the forefront of the data landscape, empowering our customers to mitigate risks, foster business innovation, achieve compliance, build trust, make informed decisions, and maximize the value of their data.We are committed to building a global team united by a passion for innovation and advanced technology. BigID has received numerous accolades, including:Named a Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec AwardsListed in Citizens JMP Cyber 66 as one of the Hottest Privately Held Cybersecurity CompaniesCRN 100 list recognizes BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies for three consecutive yearsRanked among the DUNS 100 Best Tech Companies to Work forFeatured as a Top 3 Big Data and AI Vendor to Watch in the 2023 BigDATAwire Readers' and Editors' Choice AwardsIncluded in the 2024 Inc. 5000 list for the fourth consecutive year!Shortlisted for the 2024 AI Awards in the Best Use of AI in Cybersecurity categoryAt BigID, our team is the cornerstone of our success. Join our dynamic, people-centric culture where you’ll have the opportunity to collaborate with some of the most talented professionals in the industry who prioritize innovation, diversity, integrity, and teamwork.Who We Are Looking For:We are on the hunt for a Senior Data Platform Engineer to enhance our Data Platform team. The ideal candidate will possess substantial experience in data engineering, particularly with Kafka and Elasticsearch, to design and maintain our robust data platforms. You will collaborate closely with cross-functional teams to ensure the scalability and reliability of our data solutions.Role Overview:As a Senior Data Platform Engineer, you will be instrumental in the design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your proficiency in Elastic, Kafka, and Node.js will play a vital role in ensuring the scalability and performance of our data systems.Key Responsibilities:Develop data processing pipelines utilizing Kafka for real-time data streaming.Enhance and manage search functionalities leveraging Elastic technologies.Work alongside product managers, data analysts, and stakeholders to gather requirements and translate them into technical specifications.Lead code reviews and promote best practices in coding and data handling.
Role overview The Global Data Strategist & Ecosystem Developer at NielsenIQ takes a central role in shaping data strategies that span international markets. Based in Chennai, this position focuses on building solutions that help drive business growth and support new initiatives. What you will do Develop and refine data strategies tailored to global business requirements Use analytical skills to design and implement data-driven solutions Contribute to projects aimed at improving business performance and fostering innovation
Join our dynamic team as a Technology Engineer specializing in DevOps, containerization, and big data technologies. In this pivotal role, you will drive enterprise-level digital and data platform initiatives, ensuring the design, implementation, and optimization of scalable infrastructure and data solutions.Key ResponsibilitiesDevOps & CI/CDDesign, implement, and maintain robust CI/CD pipelines leveraging tools such as Jenkins and GitOps.Automate build, deployment, and release processes to enhance operational efficiency and reliability.Containerization & OrchestrationDeploy and manage containerized applications utilizing Kubernetes and OpenShift.Ensure high availability, scalability, and resilience of applications.Infrastructure as Code (IaC)Develop and manage infrastructure using Terraform, Ansible, or comparable tools.Maintain version-controlled infrastructure to promote consistency and scalability.Big Data EngineeringArchitect and implement data solutions with Hadoop, Spark, and Kafka.Manage large-scale data processing and streaming pipelines.Distributed SystemsDesign and oversee distributed data architectures.Optimize data storage and processing performance across various systems.CollaborationEngage closely with engineering, DevOps, and data teams to deliver comprehensive solutions.Translate business and technical requirements into scalable implementations.Monitoring & Performance OptimizationImplement monitoring, logging, and alerting solutions.Continuously enhance system performance, reliability, and cost-efficiency.Security & ComplianceEnsure that infrastructure and data platforms adhere to security best practices.Maintain compliance with enterprise and regulatory standards.
Join our innovative team at DNB as a Data Scientist where you will leverage your analytical skills to extract valuable insights from complex datasets. You will play a pivotal role in shaping our data-driven strategies and contributing to impactful projects that drive business growth.
Join our dynamic team at minderacraft as a Senior Data Engineer, where your expertise will be pivotal in shaping our data infrastructure. We are seeking a highly skilled individual with a deep understanding of big data technologies, ETL/ELT processes, and data modeling methodologies. Your primary focus will be to design, optimize, and maintain robust data pipelines, ensuring the integrity of our data and supporting our analytics initiatives.
About UsAt Arcadia, we are at the forefront of empowering energy innovators and consumers in combating the climate crisis. Our cutting-edge software and APIs are transforming an industry constrained by outdated systems, granting unprecedented access to the data and clean energy necessary for a decarbonized energy grid.Since our inception in 2014, we have been dedicated to dismantling the fossil fuel monopoly by breaking down institutional barriers that hinder decarbonization. To date, we've connected hundreds of thousands of consumers and small businesses with premium clean energy options. Today, we are expanding our vision even further with the launch of Arc, a groundbreaking SaaS platform that enables developers and energy innovators to create tailored energy experiences, accelerating the transition from traditional energy systems to a digitized network.We believe that solving one of the world's most significant challenges requires innovative thinking and diverse perspectives. We are building a team of individuals from various backgrounds, industries, and educational experiences. If you share our commitment to ushering in the era of clean energy, we would love to see what unique qualities you can bring to Arcadia! Visit us at www.arcadia.com.Position OverviewThe Custom Data Integration (CDI) team is the operational backbone that allows Arcadia to efficiently ingest and standardize utility data, surpassing the limitations of our core product and automation capabilities. This team addresses non-standard customer requirements, including integrations with sustainability platforms (e.g., Envizi, ESPM, NZC), custom data deliveries, reports, and the processing of various bill formats through specialized internal workflows.As the Team Lead for CDI, you will have complete ownership of the Chennai CDI pod, overseeing throughput, quality, team capabilities, and operational alignment with Product, Engineering, Customer Success, Project Management, and Data Engineering teams in both India and the US. Your responsibility includes transforming complex, unstructured requirements into standardized, audit-ready outputs that facilitate customer sustainability reporting, billing audit workflows, and compliance needs.This is a working-leadership role that combines hands-on project management with team leadership. You will personally oversee the most intricate projects from start to finish while guiding Data Analysts and Senior Data Analysts through simpler projects under your mentorship. Additionally, you will design SOPs, onboarding processes, QA frameworks, and delivery standards for both one-off and recurring projects, consistently identifying opportunities for automation to minimize manual interventions.
Role Overview minderacraft is hiring a Data Engineer in Chennai, Tamil Nadu, India. This position focuses on building and improving the company’s data infrastructure using AWS, Snowflake, and dbt. The role centers on designing, developing, and maintaining data pipelines that deliver reliable, high-quality data for business needs. What You Will Do Design and build data pipelines with AWS, Snowflake, and dbt Maintain and optimize existing data workflows to ensure timely and accurate data delivery Work with teams across the company to understand their data requirements and translate them into technical solutions Identify and resolve data issues to improve data quality Support and implement data governance practices What Helps You Succeed Hands-on experience with AWS, Snowflake, and dbt Strong analytical and problem-solving abilities Ability to communicate with both technical and non-technical teams Attention to data quality and process improvement
Join NielsenIQ as a Senior Data Operations Analyst and be part of a dynamic team that drives innovative data solutions. In this role, you will leverage your expertise in Python and SQL to optimize data operations and contribute to data-driven decision-making processes. Your analytical skills will be essential in ensuring the accuracy and efficiency of data handling across various projects.
Join our dynamic Data Team at Mindera, where as a Senior Data Engineer, you will play a pivotal role in creating the data pipelines and tables that drive our business-critical dashboards, empower self-service analytics, and support advanced machine learning models and real-time data products. Utilizing state-of-the-art tools such as DBT, Spark, and Airflow, you will convert high-volume raw event data into user-friendly, impactful datasets.You will collaborate cross-functionally with Machine Learning Engineers, Data Scientists, and BI Developers to facilitate data-driven decision-making throughout the organization. Our engineers benefit from a culture of autonomy, innovation, and continuous learning, supported by structured career progression paths and access to training resources.As a Senior Data Engineer, your responsibilities will include:Designing and constructing scalable data pipelines, models, and feature stores to support analytics and machine learning workloads.Deploying and managing cloud-native data applications on AWS, leveraging CI/CD pipelines to automate builds, tests, and releases.Ensuring the technical quality, performance, and reliability of production-grade data pipelines through robust observability and engineering best practices.
Join our dynamic team at gsstech-group as a Data Engineer specializing in real-time streaming and event-driven architectures. We seek a talented individual who will take charge of creating scalable data pipelines, enhancing streaming systems, and achieving optimal performance in distributed environments.Key ResponsibilitiesDesign and implement real-time data streaming pipelines utilizing technologies such as Apache Flink, Kafka, and JavaBuild and sustain event-driven architectures for extensive distributed systemsConduct JVM tuning and performance optimization for streaming applicationsDevelop and deploy applications utilizing containerization tools (Docker, Kubernetes)Utilize the Cloudera platform for data engineering and pipeline orchestrationApply robust design patterns while upholding high coding standardsTroubleshoot and resolve challenges within a distributed systems ecosystemCollaborate with DevOps teams to manage CI/CD pipelines (GitHub, Jenkins)Operate on Linux-based systems, including configuration and shell scriptingEnhance data processing through caching mechanisms (e.g., Redis – considered a plus)Required Skills & ExperienceExtensive hands-on experience in Real-Time Streaming (Flink / Kafka / Java)Comprehensive understanding of event-driven architectureExperience with JVM performance tuningProficiency in Docker and KubernetesStrong background in Linux OS and shell scriptingKnowledge of design patterns and scalable system designFamiliarity with CI/CD tools such as GitHub and JenkinsPractical troubleshooting experience in distributed systemsNice to HaveFamiliarity with Redis or other caching systemsExposure to Cloudera Data Platform engineeringPrior experience in the banking or financial domain is advantageous
Vultr is expanding its global cloud infrastructure with a new data center in Chennai. The Data Center Operations Engineer will play a central role in preparing this facility for launch and ensuring it meets Vultr’s operational standards from day one. This position acts as the on-site operational lead during the initial ramp-up phase, before permanent staff are in place. The engineer will coordinate readiness activities, make deployment decisions, and serve as Vultr’s technical and operational point of contact at the new site. The role offers significant autonomy and direct influence on how the Chennai data center comes online and supports Vultr’s growth in new markets. What you will do Act as the primary operational owner for the Chennai data center during launch and ramp-up phases Evaluate site conditions to apply Vultr’s infrastructure standards and operational procedures Plan, coordinate, and sequence deployment activities to bring systems online safely and efficiently Track and report on operational performance metrics throughout the launch process Employee benefits Annual medical insurance stipend 9 paid company holidays Generous leave policy, including a 1-month paid sabbatical every 5 years and an anniversary bonus each year Professional development reimbursement Fitness membership reimbursement Company-sponsored Wellable subscription
ValGenesis builds digital validation platforms for life sciences organizations. Its products support pharmaceutical and biotech companies as they move toward digital processes, maintain regulatory compliance, and ensure manufacturing quality throughout the product lifecycle. Thirty of the top fifty global firms in this industry use ValGenesis solutions. More details about the company's work in paperless validation are available at valgenesis.com/about. Role overview The Senior Software Engineer - Data Engineering position is based in Chennai. This role focuses on developing and maintaining data engineering solutions to support ValGenesis platforms. Work will center on building systems that help life sciences clients manage and analyze data for compliance and quality throughout their operations.
Join Dun & Bradstreet and Shape the FutureAt Dun & Bradstreet, we harness the power of data to foster innovation and build a better tomorrow. As a pioneering leader in business intelligence and analytics, we empower companies across the globe to thrive, mitigate risks, and innovate. With a legacy spanning over 180 years, we have earned the trust of businesses to transform uncertainty into opportunity. Our diverse and inclusive team thrives on creativity, collaboration, and innovative ideas. Are you ready to leave your mark and help us shape the future? Explore our career opportunities at dnb.com/careers.We are seeking a skilled AI Engineer to architect, develop, and operationalize AI-driven solutions for our global Analytics division. The successful candidate will possess extensive hands-on experience in Python, PySpark, agentic workflow development, and contemporary GenAI frameworks. You will have a track record of building scalable applications utilizing LLMs, retrieval systems, and automation pipelines. Collaborating closely with data scientists, MLOps engineers, and business stakeholders, you will create advanced, production-grade systems that propel next-generation analytics and decision-making, aligned with our GenAI roadmap.
Join our dynamic team at Moving Walls India Pvt Ltd as a Data Analyst! In this role, you will harness data-driven insights to empower strategic decision-making and drive business growth. Your analytical skills will be crucial in interpreting complex datasets and presenting clear, actionable recommendations to stakeholders.
We are on the lookout for an exceptional Senior Data Engineer to architect, construct, and sustain scalable data pipelines for our enterprise-level data platforms focused on the Risk & Compliance sector. The successful candidate will possess a deep understanding of PySpark, Python, and data engineering best practices, emphasizing data quality, governance, and security.Key ResponsibilitiesDesign, develop, and enhance scalable data pipelines leveraging PySpark and PythonCreate robust ETL/ELT workflows to manage substantial volumes of both structured and unstructured dataCollaborate with data scientists, analysts, and business stakeholders to produce high-quality datasetsGuarantee data integrity, accuracy, and reliability through comprehensive validation frameworks and monitoringImplement data security and access control mechanisms that align with compliance standardsPartner closely with Risk & Compliance teams to fulfill regulatory and reporting obligationsOptimize the performance of data processing jobs and queriesMaintain and upgrade existing data architecture and pipelinesRequired Skills & Experience6+ years of experience in Data EngineeringExtensive hands-on experience with PySpark and PythonSolid background in SQL and Oracle databasesProven experience in constructing and managing large-scale data pipelinesStrong understanding of data warehousing concepts and ETL frameworksExperience with data validation, data quality, and governance frameworksFamiliarity with cloud platforms (AWS/Azure/GCP) is a plusExperience in the banking, financial services, or risk & compliance domain is preferredKey CompetenciesStrong analytical and problem-solving skillsAdept at working in a fast-paced, collaborative environmentExcellent communication and stakeholder management abilitiesMeticulous attention to detail, especially regarding data quality and securityNice to HaveExperience with Big Data ecosystems (Hadoop, Spark)Knowledge of data security and regulatory compliance frameworksPrior experience with enterprise data platforms
We are seeking a talented and experienced Big Data Architect to join our dynamic team at Squircle IT Consulting Services Pvt Ltd. In this pivotal role, you will design and implement scalable data architectures that enable our clients to leverage vast amounts of data for insights and decision-making.Your expertise in big data technologies and architecture will be essential in driving our projects forward. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data solutions meet the highest standards of performance and reliability.
Orion Innovation is a leading global business and technology services firm, renowned for its innovative approach to business transformation and product development. We focus on digital strategy, experience design, and engineering, delivering solutions that combine agility, scale, and maturity. Our clientele spans various sectors, including financial services, telecommunications, media, consumer products, automotive, industrial automation, and more. Job Overview: We are in search of a skilled Senior Data Engineer to spearhead the development and optimization of scalable data platforms utilizing Microsoft Fabric, Databricks, and/or Snowflake. This role will entail designing dependable data pipelines, lakehouse and warehouse models, as well as semantic layers that support enterprise analytics and AI-driven initiatives.You will collaborate closely with analytics, BI, and data science teams to deliver high-quality, efficient, and secure data solutions while advocating for best practices in data engineering, optimization, and platform architecture.
Role overview NielsenIQ is seeking a Data Operations Analyst based in Chennai. The position centers on managing and refining data operations to help drive sound business decisions. The analyst will play a key part in maintaining reliable data processes that support organizational objectives. What you will do Oversee and enhance data operations across multipl…
Join our innovative team at Moving Walls India Pvt Ltd as a Data Engineer, where you will play a crucial role in driving data solutions and analytics to support our business objectives. We are looking for a passionate individual who thrives in a fast-paced environment and is eager to tackle complex data challenges.
About Gen Digital Gen Digital is a global company focused on digital freedom and security. Our brands include Norton, Avast, LifeLock, and MoneyLion, serving nearly 500 million users in over 150 countries. We provide cybersecurity, online privacy, identity protection, and financial wellness products. Our mission centers on helping people manage and secure their digital and financial lives. We value diverse experiences and ideas, and we see AI as a partner for innovation. Gen Digital encourages autonomy, supports career growth, and offers flexible work options, generous time off, competitive pay, and wellness programs. The company culture emphasizes customer satisfaction, open discussion, experimentation, and continuous learning. Team members collaborate in an environment that respects and values differences as strengths. Senior Staff Data Engineer – Role Overview The Senior Staff Data Engineer will serve as a senior technical leader within the organization. This role focuses on designing and implementing large-scale data solutions that support Gen Digital’s cybersecurity platform strategy. The position combines deep technical skill with organizational influence. Key responsibilities include: Designing complex data architectures for enterprise-scale needs Implementing solutions that support a multi-petabyte data infrastructure Mentoring and guiding engineering teams Shaping the technical vision for data systems serving millions of users Location Chennai, India
About Us:BigID is a pioneering tech startup specializing in cutting-edge solutions for data security, compliance, privacy, and AI data management. We are at the forefront of the data landscape, empowering our customers to mitigate risks, foster business innovation, achieve compliance, build trust, make informed decisions, and maximize the value of their data.We are committed to building a global team united by a passion for innovation and advanced technology. BigID has received numerous accolades, including:Named a Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec AwardsListed in Citizens JMP Cyber 66 as one of the Hottest Privately Held Cybersecurity CompaniesCRN 100 list recognizes BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies for three consecutive yearsRanked among the DUNS 100 Best Tech Companies to Work forFeatured as a Top 3 Big Data and AI Vendor to Watch in the 2023 BigDATAwire Readers' and Editors' Choice AwardsIncluded in the 2024 Inc. 5000 list for the fourth consecutive year!Shortlisted for the 2024 AI Awards in the Best Use of AI in Cybersecurity categoryAt BigID, our team is the cornerstone of our success. Join our dynamic, people-centric culture where you’ll have the opportunity to collaborate with some of the most talented professionals in the industry who prioritize innovation, diversity, integrity, and teamwork.Who We Are Looking For:We are on the hunt for a Senior Data Platform Engineer to enhance our Data Platform team. The ideal candidate will possess substantial experience in data engineering, particularly with Kafka and Elasticsearch, to design and maintain our robust data platforms. You will collaborate closely with cross-functional teams to ensure the scalability and reliability of our data solutions.Role Overview:As a Senior Data Platform Engineer, you will be instrumental in the design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your proficiency in Elastic, Kafka, and Node.js will play a vital role in ensuring the scalability and performance of our data systems.Key Responsibilities:Develop data processing pipelines utilizing Kafka for real-time data streaming.Enhance and manage search functionalities leveraging Elastic technologies.Work alongside product managers, data analysts, and stakeholders to gather requirements and translate them into technical specifications.Lead code reviews and promote best practices in coding and data handling.
Role overview The Global Data Strategist & Ecosystem Developer at NielsenIQ takes a central role in shaping data strategies that span international markets. Based in Chennai, this position focuses on building solutions that help drive business growth and support new initiatives. What you will do Develop and refine data strategies tailored to global business requirements Use analytical skills to design and implement data-driven solutions Contribute to projects aimed at improving business performance and fostering innovation
Join our dynamic team as a Technology Engineer specializing in DevOps, containerization, and big data technologies. In this pivotal role, you will drive enterprise-level digital and data platform initiatives, ensuring the design, implementation, and optimization of scalable infrastructure and data solutions.Key ResponsibilitiesDevOps & CI/CDDesign, implement, and maintain robust CI/CD pipelines leveraging tools such as Jenkins and GitOps.Automate build, deployment, and release processes to enhance operational efficiency and reliability.Containerization & OrchestrationDeploy and manage containerized applications utilizing Kubernetes and OpenShift.Ensure high availability, scalability, and resilience of applications.Infrastructure as Code (IaC)Develop and manage infrastructure using Terraform, Ansible, or comparable tools.Maintain version-controlled infrastructure to promote consistency and scalability.Big Data EngineeringArchitect and implement data solutions with Hadoop, Spark, and Kafka.Manage large-scale data processing and streaming pipelines.Distributed SystemsDesign and oversee distributed data architectures.Optimize data storage and processing performance across various systems.CollaborationEngage closely with engineering, DevOps, and data teams to deliver comprehensive solutions.Translate business and technical requirements into scalable implementations.Monitoring & Performance OptimizationImplement monitoring, logging, and alerting solutions.Continuously enhance system performance, reliability, and cost-efficiency.Security & ComplianceEnsure that infrastructure and data platforms adhere to security best practices.Maintain compliance with enterprise and regulatory standards.
Join our innovative team at DNB as a Data Scientist where you will leverage your analytical skills to extract valuable insights from complex datasets. You will play a pivotal role in shaping our data-driven strategies and contributing to impactful projects that drive business growth.
Join our dynamic team at minderacraft as a Senior Data Engineer, where your expertise will be pivotal in shaping our data infrastructure. We are seeking a highly skilled individual with a deep understanding of big data technologies, ETL/ELT processes, and data modeling methodologies. Your primary focus will be to design, optimize, and maintain robust data pipelines, ensuring the integrity of our data and supporting our analytics initiatives.
About UsAt Arcadia, we are at the forefront of empowering energy innovators and consumers in combating the climate crisis. Our cutting-edge software and APIs are transforming an industry constrained by outdated systems, granting unprecedented access to the data and clean energy necessary for a decarbonized energy grid.Since our inception in 2014, we have been dedicated to dismantling the fossil fuel monopoly by breaking down institutional barriers that hinder decarbonization. To date, we've connected hundreds of thousands of consumers and small businesses with premium clean energy options. Today, we are expanding our vision even further with the launch of Arc, a groundbreaking SaaS platform that enables developers and energy innovators to create tailored energy experiences, accelerating the transition from traditional energy systems to a digitized network.We believe that solving one of the world's most significant challenges requires innovative thinking and diverse perspectives. We are building a team of individuals from various backgrounds, industries, and educational experiences. If you share our commitment to ushering in the era of clean energy, we would love to see what unique qualities you can bring to Arcadia! Visit us at www.arcadia.com.Position OverviewThe Custom Data Integration (CDI) team is the operational backbone that allows Arcadia to efficiently ingest and standardize utility data, surpassing the limitations of our core product and automation capabilities. This team addresses non-standard customer requirements, including integrations with sustainability platforms (e.g., Envizi, ESPM, NZC), custom data deliveries, reports, and the processing of various bill formats through specialized internal workflows.As the Team Lead for CDI, you will have complete ownership of the Chennai CDI pod, overseeing throughput, quality, team capabilities, and operational alignment with Product, Engineering, Customer Success, Project Management, and Data Engineering teams in both India and the US. Your responsibility includes transforming complex, unstructured requirements into standardized, audit-ready outputs that facilitate customer sustainability reporting, billing audit workflows, and compliance needs.This is a working-leadership role that combines hands-on project management with team leadership. You will personally oversee the most intricate projects from start to finish while guiding Data Analysts and Senior Data Analysts through simpler projects under your mentorship. Additionally, you will design SOPs, onboarding processes, QA frameworks, and delivery standards for both one-off and recurring projects, consistently identifying opportunities for automation to minimize manual interventions.
Role Overview minderacraft is hiring a Data Engineer in Chennai, Tamil Nadu, India. This position focuses on building and improving the company’s data infrastructure using AWS, Snowflake, and dbt. The role centers on designing, developing, and maintaining data pipelines that deliver reliable, high-quality data for business needs. What You Will Do Design and build data pipelines with AWS, Snowflake, and dbt Maintain and optimize existing data workflows to ensure timely and accurate data delivery Work with teams across the company to understand their data requirements and translate them into technical solutions Identify and resolve data issues to improve data quality Support and implement data governance practices What Helps You Succeed Hands-on experience with AWS, Snowflake, and dbt Strong analytical and problem-solving abilities Ability to communicate with both technical and non-technical teams Attention to data quality and process improvement
Join NielsenIQ as a Senior Data Operations Analyst and be part of a dynamic team that drives innovative data solutions. In this role, you will leverage your expertise in Python and SQL to optimize data operations and contribute to data-driven decision-making processes. Your analytical skills will be essential in ensuring the accuracy and efficiency of data handling across various projects.
Join our dynamic Data Team at Mindera, where as a Senior Data Engineer, you will play a pivotal role in creating the data pipelines and tables that drive our business-critical dashboards, empower self-service analytics, and support advanced machine learning models and real-time data products. Utilizing state-of-the-art tools such as DBT, Spark, and Airflow, you will convert high-volume raw event data into user-friendly, impactful datasets.You will collaborate cross-functionally with Machine Learning Engineers, Data Scientists, and BI Developers to facilitate data-driven decision-making throughout the organization. Our engineers benefit from a culture of autonomy, innovation, and continuous learning, supported by structured career progression paths and access to training resources.As a Senior Data Engineer, your responsibilities will include:Designing and constructing scalable data pipelines, models, and feature stores to support analytics and machine learning workloads.Deploying and managing cloud-native data applications on AWS, leveraging CI/CD pipelines to automate builds, tests, and releases.Ensuring the technical quality, performance, and reliability of production-grade data pipelines through robust observability and engineering best practices.
Join our dynamic team at gsstech-group as a Data Engineer specializing in real-time streaming and event-driven architectures. We seek a talented individual who will take charge of creating scalable data pipelines, enhancing streaming systems, and achieving optimal performance in distributed environments.Key ResponsibilitiesDesign and implement real-time data streaming pipelines utilizing technologies such as Apache Flink, Kafka, and JavaBuild and sustain event-driven architectures for extensive distributed systemsConduct JVM tuning and performance optimization for streaming applicationsDevelop and deploy applications utilizing containerization tools (Docker, Kubernetes)Utilize the Cloudera platform for data engineering and pipeline orchestrationApply robust design patterns while upholding high coding standardsTroubleshoot and resolve challenges within a distributed systems ecosystemCollaborate with DevOps teams to manage CI/CD pipelines (GitHub, Jenkins)Operate on Linux-based systems, including configuration and shell scriptingEnhance data processing through caching mechanisms (e.g., Redis – considered a plus)Required Skills & ExperienceExtensive hands-on experience in Real-Time Streaming (Flink / Kafka / Java)Comprehensive understanding of event-driven architectureExperience with JVM performance tuningProficiency in Docker and KubernetesStrong background in Linux OS and shell scriptingKnowledge of design patterns and scalable system designFamiliarity with CI/CD tools such as GitHub and JenkinsPractical troubleshooting experience in distributed systemsNice to HaveFamiliarity with Redis or other caching systemsExposure to Cloudera Data Platform engineeringPrior experience in the banking or financial domain is advantageous
Vultr is expanding its global cloud infrastructure with a new data center in Chennai. The Data Center Operations Engineer will play a central role in preparing this facility for launch and ensuring it meets Vultr’s operational standards from day one. This position acts as the on-site operational lead during the initial ramp-up phase, before permanent staff are in place. The engineer will coordinate readiness activities, make deployment decisions, and serve as Vultr’s technical and operational point of contact at the new site. The role offers significant autonomy and direct influence on how the Chennai data center comes online and supports Vultr’s growth in new markets. What you will do Act as the primary operational owner for the Chennai data center during launch and ramp-up phases Evaluate site conditions to apply Vultr’s infrastructure standards and operational procedures Plan, coordinate, and sequence deployment activities to bring systems online safely and efficiently Track and report on operational performance metrics throughout the launch process Employee benefits Annual medical insurance stipend 9 paid company holidays Generous leave policy, including a 1-month paid sabbatical every 5 years and an anniversary bonus each year Professional development reimbursement Fitness membership reimbursement Company-sponsored Wellable subscription
ValGenesis builds digital validation platforms for life sciences organizations. Its products support pharmaceutical and biotech companies as they move toward digital processes, maintain regulatory compliance, and ensure manufacturing quality throughout the product lifecycle. Thirty of the top fifty global firms in this industry use ValGenesis solutions. More details about the company's work in paperless validation are available at valgenesis.com/about. Role overview The Senior Software Engineer - Data Engineering position is based in Chennai. This role focuses on developing and maintaining data engineering solutions to support ValGenesis platforms. Work will center on building systems that help life sciences clients manage and analyze data for compliance and quality throughout their operations.
Join Dun & Bradstreet and Shape the FutureAt Dun & Bradstreet, we harness the power of data to foster innovation and build a better tomorrow. As a pioneering leader in business intelligence and analytics, we empower companies across the globe to thrive, mitigate risks, and innovate. With a legacy spanning over 180 years, we have earned the trust of businesses to transform uncertainty into opportunity. Our diverse and inclusive team thrives on creativity, collaboration, and innovative ideas. Are you ready to leave your mark and help us shape the future? Explore our career opportunities at dnb.com/careers.We are seeking a skilled AI Engineer to architect, develop, and operationalize AI-driven solutions for our global Analytics division. The successful candidate will possess extensive hands-on experience in Python, PySpark, agentic workflow development, and contemporary GenAI frameworks. You will have a track record of building scalable applications utilizing LLMs, retrieval systems, and automation pipelines. Collaborating closely with data scientists, MLOps engineers, and business stakeholders, you will create advanced, production-grade systems that propel next-generation analytics and decision-making, aligned with our GenAI roadmap.
Join our dynamic team at Moving Walls India Pvt Ltd as a Data Analyst! In this role, you will harness data-driven insights to empower strategic decision-making and drive business growth. Your analytical skills will be crucial in interpreting complex datasets and presenting clear, actionable recommendations to stakeholders.
We are on the lookout for an exceptional Senior Data Engineer to architect, construct, and sustain scalable data pipelines for our enterprise-level data platforms focused on the Risk & Compliance sector. The successful candidate will possess a deep understanding of PySpark, Python, and data engineering best practices, emphasizing data quality, governance, and security.Key ResponsibilitiesDesign, develop, and enhance scalable data pipelines leveraging PySpark and PythonCreate robust ETL/ELT workflows to manage substantial volumes of both structured and unstructured dataCollaborate with data scientists, analysts, and business stakeholders to produce high-quality datasetsGuarantee data integrity, accuracy, and reliability through comprehensive validation frameworks and monitoringImplement data security and access control mechanisms that align with compliance standardsPartner closely with Risk & Compliance teams to fulfill regulatory and reporting obligationsOptimize the performance of data processing jobs and queriesMaintain and upgrade existing data architecture and pipelinesRequired Skills & Experience6+ years of experience in Data EngineeringExtensive hands-on experience with PySpark and PythonSolid background in SQL and Oracle databasesProven experience in constructing and managing large-scale data pipelinesStrong understanding of data warehousing concepts and ETL frameworksExperience with data validation, data quality, and governance frameworksFamiliarity with cloud platforms (AWS/Azure/GCP) is a plusExperience in the banking, financial services, or risk & compliance domain is preferredKey CompetenciesStrong analytical and problem-solving skillsAdept at working in a fast-paced, collaborative environmentExcellent communication and stakeholder management abilitiesMeticulous attention to detail, especially regarding data quality and securityNice to HaveExperience with Big Data ecosystems (Hadoop, Spark)Knowledge of data security and regulatory compliance frameworksPrior experience with enterprise data platforms
We are seeking a talented and experienced Big Data Architect to join our dynamic team at Squircle IT Consulting Services Pvt Ltd. In this pivotal role, you will design and implement scalable data architectures that enable our clients to leverage vast amounts of data for insights and decision-making.Your expertise in big data technologies and architecture will be essential in driving our projects forward. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data solutions meet the highest standards of performance and reliability.
Orion Innovation is a leading global business and technology services firm, renowned for its innovative approach to business transformation and product development. We focus on digital strategy, experience design, and engineering, delivering solutions that combine agility, scale, and maturity. Our clientele spans various sectors, including financial services, telecommunications, media, consumer products, automotive, industrial automation, and more. Job Overview: We are in search of a skilled Senior Data Engineer to spearhead the development and optimization of scalable data platforms utilizing Microsoft Fabric, Databricks, and/or Snowflake. This role will entail designing dependable data pipelines, lakehouse and warehouse models, as well as semantic layers that support enterprise analytics and AI-driven initiatives.You will collaborate closely with analytics, BI, and data science teams to deliver high-quality, efficient, and secure data solutions while advocating for best practices in data engineering, optimization, and platform architecture.
