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Experience Level
Senior
Qualifications
Qualifications:Proven experience in data engineering, with a strong background in ETL processes. Proficiency in programming languages such as Python, Java, or Scala. Experience with data warehousing solutions and big data technologies (e.g., Hadoop, Spark). Strong analytical skills and ability to work with large datasets. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.
About the job
Join Our Team as a Senior Data Engineer! Are you passionate about data engineering and AI? At Brillio, we are seeking a talented Senior Data Engineer to help us transform the way organizations leverage data. In this role, you will design and implement scalable data solutions, ensuring high-quality data flow and architecture. Collaborate with cross-functional teams to build data pipelines that drive insights and support business decisions. If you're ready to take your career to the next level and make an impact, we want to hear from you!
About Brillio
Brillio is a global consulting and technology services company that helps businesses harness the power of digital transformation and data analytics. With a commitment to innovation and excellence, we empower our clients to achieve their growth objectives through advanced technologies and data-driven strategies.
Couchbase, Inc. is seeking a Senior Finance Data Engineer to join its Finance team in Bangalore, India. This position centers on supporting the company’s financial operations through data engineering expertise. Role overview The Senior Finance Data Engineer will play a central part in the Finance team. The role involves working with financial data and suppor…
Join us in a thrilling phase of technology as we revolutionize the data storage industry. At PureStorage, you’ll engage in innovative thinking, evolve with us, and collaborate with some of the brightest minds in the sector.This is the kind of transformative work that defines the tech industry. If you're eager to embrace limitless opportunities and make a meaningful impact, we invite you to be part of our journey.THE ROLEWe are on the lookout for a talented and proactive Senior Finance Data & Analytics Engineer (Individual Contributor role) who will spearhead the design and development of the Finance Data Cube. This initiative aims to provide enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other essential financial metrics.WHAT YOU'LL DODesign, construct, and manage the Finance Data Cube, integrating diverse financial, customer, and operational datasets.Model data to facilitate insights into CLTV, Contribution Margin, and other profitability KPIs across various dimensions (customer, product, line of business, geography, etc.).Act as a data architect for Finance, unifying disparate data to answer critical business questions.Utilize AI tools to automate data summarization, anomaly detection, and generate narrative insights for Finance stakeholders.Enhance data infrastructure to accommodate large volumes and intricate financial models.Translate complex financial concepts and KPIs into scalable, maintainable data models.Establish robust controls for data quality, lineage, and governance.Maintain clear documentation of data transformations, metric definitions, and AI model logic.This position is primarily on-site, and you will be expected to work from our Bangalore office in accordance with Pure's policies, except when on approved leave or work travel.
About WPP MediaWPP Media is the trusted growth partner for the world’s leading brands. Combining exceptional talent, reliable data and intelligence, along with world-class partnerships, we empower clients to navigate change and seize opportunities for transformative growth through our innovative marketing platform, WPP Open.As WPP's AI-driven media operating unit, WPP Media integrates media, data, and partnerships to deliver large-scale creative personalization. Through WPP Open and powered by Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.WPP Media OverviewAt WPP, we harness the power of creativity to foster better futures for our people, planet, clients, and communities. Explore more at wpp.com.WPP Media, our global media collective, thrives in a world where media is omnipresent. We unite the finest platforms, talent, and partners to unlock limitless growth opportunities. Discover more at wppmedia.com.We pride ourselves on our vibrant culture and team. This role is essential for embodying the core values shared by WPP and WPP Media:Be Extraordinary by collectively leading to inspire transformational creativity.Create an Open environment by balancing people and client experiences through trust cultivation.Lead Optimistically by championing growth and development to mobilize the enterprise.
Senior Data EngineerJoin our innovative team at Brillio, where we are dedicated to harnessing the power of data to drive business solutions. As a Senior Data Engineer, you will play a pivotal role in designing and implementing robust data pipelines and architectures that support our AI and data engineering initiatives. Your expertise will help us transform complex data into actionable insights, enabling our clients to make informed decisions. This is an exciting opportunity for professionals who are passionate about data and eager to contribute to cutting-edge projects.
Join Our Team as a Senior Lead Data EngineerAre you an innovative and experienced Data Engineer ready to take the lead in transforming data into actionable insights? At Brillio, we are looking for a Senior Lead Data Engineer who is passionate about leveraging advanced data engineering techniques to drive our AI and data initiatives forward.In this role, you will oversee data architecture, design, and development, ensuring that our data solutions meet business needs while optimizing performance and reliability. Your expertise will guide the team in building robust data pipelines and implementing best practices in data management and governance.
Location: Bangalore, India Role Overview Pine Storage’s Data & Analytics team is looking for a Senior Data Engineering Manager to lead the development of an AI-ready data infrastructure supporting conversational AI and chatbot experiences for Finance. This position covers the full project lifecycle: from defining the vision and identifying capability gaps to delivering a phased roadmap with clear, measurable results. The main goal is to create an AI-driven Finance experience where stakeholders can access insights using natural language and copilots. Key Responsibilities Finance Control Tower & Data Foundation Design and implement the Finance Control Tower. Build a scalable, AI-ready data platform for reporting, analytics, and AI integration. Deliver unified and reliable views across Finance, including revenue, billing, and forecasting. Data Architecture, Semantic Layer & Observability Define data architecture and unified models across systems such as Salesforce, SAP, NetSuite, and Zuora. Develop a semantic or metrics layer to standardize business definitions. Implement data management and observability practices with a focus on quality, lineage, and reliability. Conversational AI & AI Enablement Enable natural language access to Finance data through chatbots and copilots. Design RAG-based architectures using both structured and unstructured data. Create embeddings and semantic context layers for business-aware insights. Apply platforms like Snowflake Cortex for improved search, summarization, and classification. Data Engineering & AI Integration Build and scale data pipelines and AI-ready datasets within Snowflake or similar environments. Integrate enterprise data sources, including SFDC, NetSuite, and Zuora. Support LLM-driven use cases such as forecasting, anomaly detection, and variance analysis. Ensure results are accurate, explainable, and traceable.
Join Airbnb as a Senior Data Engineer in our Payments team, where you will play a pivotal role in transforming data into actionable insights. As part of our dynamic team, you will design and implement robust data pipelines to support our payment processing systems. Your expertise will help us enhance our data-driven decision-making process, enabling us to deliver a seamless experience for our users.
Join Our Team as a Senior Data EngineerAt Brillio, we are on the lookout for an experienced and innovative Senior Data Engineer to join our AI & Data Engineering department. In this pivotal role, you will leverage your expertise in data architecture, pipelines, and analytics to help drive our data-driven initiatives. You will collaborate with cross-functional teams to design, implement, and optimize complex data solutions that empower our clients to make informed decisions. If you're passionate about building scalable data systems and are eager to work in a fast-paced environment, we want to hear from you!
Full-time|On-site|Bangalore, India; Gurgaon, India
About WPP MediaWPP is recognized as the reliable growth partner for leading global brands. With an exceptional workforce, trusted data, and strategic alliances, we leverage our innovative marketing platform, WPP Open, to assist clients in navigating transformation, seizing opportunities, and achieving significant growth.As WPP's AI-driven media operating unit, WPP Media merges media, data, and partnerships to deliver large-scale creative personalization. Utilizing WPP Open and powered by Open Intelligence, clients gain precise insights into their media investments.To learn more, visit wppmedia.com.About WPPWPP is the creative transformation company. We harness the power of creativity to foster better futures for our employees, planet, clients, and communities. For more information, visit wpp.com.WPP Media is WPP’s global media collective. In an era where media permeates all aspects of life, we unite the best platforms, talent, and partners to create endless growth opportunities. For further details, visit wppmedia.com.At WPP Media, we value our culture and our people, which empower us to deliver extraordinary experiences for our clients and one another. In this position, it is essential to embody WPP's and WPP Media's shared core values:Be Extraordinary by leading collaboratively to inspire transformational creativity.Create an Open environment by balancing people and client experiences through trust.Lead Optimistically by advocating growth and development to mobilize the enterprise.This role will be a vital member of a data engineering team dedicated to one of WPP’s prominent global clients, tasked with maintaining and expanding a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders worldwide have access to accurate data and insights to guide their marketing strategies.WPP has introduced the Measure platform, a suite of standardized technologies (Adverity for data collection, DBT for modeling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to accelerate deployment and streamline support for automated reporting and analytics tools.
Couchbase builds operational data platforms for AI, helping businesses modernize how they manage and use data. Enterprises around the world rely on Couchbase for operational, analytical, mobile, and AI-powered workloads. The platform is designed to replace legacy infrastructure and fragmented data systems, offering performance, flexibility, and scalability on a global scale. With Couchbase, organizations can create new customer experiences, explore AI applications, and extend their solutions from the cloud to the edge. The technology and partnership approach simplify complexity, reduce ownership costs, and help teams stay agile and secure. More information is available at couchbase.com. Role overview The Lead Finance Data Analytics position is based in Bangalore and focuses on providing insights for the global Finance & Strategy team. This role translates complex data into clear narratives and works closely with colleagues to build data-driven models and analytics that support quick, informed decisions. Responsibilities include strategic analysis and designing and managing an Analyst-Ready Data Layer to support analytics across the function. A strong understanding of SaaS business models and data engineering is essential to ensure insights are actionable and built on a scalable, audit-ready foundation. Main responsibilities Revenue Cycle & Predictive Modeling: Analyze the opportunity-to-cash process, including ARR-to-revenue conversion and renewal patterns. Develop early warning indicators to identify risks and opportunities for growth. SaaS Unit Economics & Business Diagnostics: Apply advanced analytics to examine business drivers, linking hosting and service delivery costs to gross margins. Model consumption-based metrics to detect upsell and churn risks early. Executive Storytelling: Collaborate with finance leadership to improve the quality and impact of reporting for internal teams and investment partners.
Position Summary: The Senior Clinical Data Engineer is pivotal in the strategic advancement and enhancement of clinical data systems, ensuring alignment with regulatory standards, facilitating advanced analytics, and promoting operational excellence across global clinical trials. This role spearheads enterprise-level data standardization projects and designs scalable validation frameworks, effectively addressing systemic data challenges. With extensive expertise in programming languages such as Python, R, SQL, and SAS, the engineer develops and sustains modular codebases, establishes coding standards, and provides mentorship to junior engineers. The position also involves ensuring compliance with regulatory requirements such as GCP and FDA 21 CFR Part 11 by creating comprehensive documentation and audit trail protocols. Utilizing dynamic dashboards and analytical tools, the engineer provides actionable insights into trial performance and data quality. Acting as a strategic liaison among Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions, leading the design of secure, high-performance databases and ETL pipelines that integrate data from various clinical systems. Essential Functions: Data Standardization & Mapping: Lead the creation of enterprise-level data mapping strategies to convert raw clinical data into standardized formats for impactful analytics. Ensure governance of data standards across programs for regulatory compliance and consistency. Data Quality Assurance: Develop and implement robust validation frameworks that proactively identify and mitigate systemic data issues, collaborating closely with Clinical Data Managers and cross-functional teams to enhance data integrity across global trials. Programming & Scripting: Design and maintain advanced modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Set coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Regulatory Compliance & Documentation: Lead initiatives to ensure data systems and workflows align with GCP, FDA 21 CFR Part 11, and evolving global regulatory standards. Establish documentation protocols and oversee audit trail governance for inspection readiness. Reporting & Visualization: Develop and operationalize dynamic dashboards and analytics tools, delivering insights into trial performance and data quality.
Join Aspora as a Senior Data Platform Engineer and be a key player in shaping our data architecture and strategy. In this role, you'll leverage advanced data engineering skills to build scalable data platforms that support our data-driven initiatives. Collaborate with cross-functional teams to understand their data needs and deliver innovative solutions.
Join Our Team as a Senior Data Engineer!Are you passionate about data engineering and AI? At Brillio, we are seeking a talented Senior Data Engineer to help us transform the way organizations leverage data. In this role, you will design and implement scalable data solutions, ensuring high-quality data flow and architecture. Collaborate with cross-functional teams to build data pipelines that drive insights and support business decisions. If you're ready to take your career to the next level and make an impact, we want to hear from you!
About UsAt Verve Group, we have revolutionized the advertising landscape by providing a more efficient and privacy-conscious approach to purchasing and monetizing ads. Our innovative ecosystem combines demand and supply technologies, integrating data, media, and technology to achieve remarkable growth and results for both advertisers and publishers worldwide. With 30 global offices and a commitment to serving pioneering advertising clients, our solutions are trusted by over 90 of the top 100 advertisers in the United States and 4,000 publishers globally. Discover more at www.verve.com.About YouWe are seeking a talented Senior Data Engineer to join our dynamic Data Processing team at Verve. This team is integral in designing and maintaining both scalable real-time and batch data processing pipelines that facilitate high-quality insights and analytics. You will collaborate closely with our Data Analytics and Data Science teams to ensure seamless data flow across the organization.In this role, you will be responsible for developing and optimizing data processing workflows, ETL pipelines, and streaming solutions. Attention to detail, efficiency, and high-quality output are crucial, as you will be reporting to the Engineering Manager for Data Processing.If you are passionate about big data technologies, real-time data processing, and enhancing large-scale ETL workflows, we would love to connect with you!This is a hybrid role requiring three days per week in our Bengaluru office.Key ResponsibilitiesDesign, develop, and maintain scalable, efficient, and cost-effective data pipelines for both real-time and batch processing.Create high-performance ETL workflows utilizing Kafka, Apache Spark, and Scala.Implement best practices for data modeling, storage, and retrieval to ensure high availability and reliability.
Join our team as a Senior Lead Data Engineer!As a Senior Lead Data Engineer at Brillio, you will play a pivotal role in designing and implementing data solutions on AWS. You will lead a talented team in the AI & Data Engineering department, driving innovation and ensuring optimal data architecture. Your expertise in data engineering and cloud technologies will be crucial in delivering high-quality data solutions that empower our clients.
Join Our Team as a Senior Data Engineer!At Brillio, we are seeking a talented and experienced Senior Data Engineer to join our dynamic AI & Data Engineering department. In this role, you will be responsible for designing and implementing robust data pipelines, ensuring data quality, and leveraging advanced analytics to drive business insights. If you're passionate about data and want to make an impact in a fast-paced environment, we want to hear from you!
Bosch Global Software Technologies Private Limited
Full-time|On-site|bangalore
Job Title: Senior Data Engineer – System VisualizationJob Summary:We are in search of a talented and experienced Senior Data Engineer specializing in system visualization, with a strong command of data architecture and cloud solutions.The successful candidate will be adept at developing scalable data pipelines and analytics solutions, with a solid understanding of visualization tools and techniques.Key Responsibilities:Design, develop, and maintain robust and scalable data systems and visualizations using modern cloud platforms.Collaborate with data scientists and analysts to create impactful data visuals and dashboards.Optimize data processing and integrate with various data sources, ensuring data integrity and performance.Implement best practices for data governance and security in all data-related projects.Document technical specifications and architecture decisions to maintain project transparency.Required Skills & Qualifications:5–8 years of professional experience in Data Engineering or a related field.Proficient in data visualization tools such as Tableau, Power BI, or similar.Strong programming skills in Python and experience with data frameworks like Apache Spark.Basic understanding of cloud platforms, with hands-on experience in Azure being a plus.Experience in SQL and NoSQL databases.Excellent problem-solving abilities and communication skills.Preferred Qualifications:Familiarity with microservices architecture and data modeling.Experience with Agile/Scrum methodologies.Knowledge of security best practices for data handling.
Founded in 2007, Airbnb has transformed the way people travel and connect with communities globally. With over 5 million hosts welcoming more than 2 billion guests across nearly every country, we provide unique stays and experiences that foster authentic connections.The Community You Will Join:The BizTech team plays a vital role in Airbnb's operations, managing critical data related to Tax compliance, Payments, and Legal regulations. We also oversee application data for key tools like CRM, Jira, and Workday. Joining us means collaborating with cross-functional stakeholders, designing scalable solutions, and contributing to an exceptional data engineering environment focused on quality and robust practices.The Difference You Will Make:We seek a hands-on expert to lead the way in addressing BizTech’s diverse data engineering requirements while driving long-term strategies and best practices. This pivotal role involves strong collaboration and influence across teams. You will be instrumental in grasping business needs, identifying suitable data sources, designing efficient data models, and constructing reliable, scalable data pipelines. As technology evolves, you will help maintain and shape significant aspects of BizTech’s data ecosystem. Your contributions will not only tackle complex business challenges but also enhance Airbnb’s Data Engineering Paved Path, benefiting our entire data community.A Typical Day / Responsibilities:Lead the design, implementation, and testing of data systems, from architecture to production.Build batch and real-time data systems that support business needs and critical products.Ensure the quality, performance, and stability of data systems through rigorous monitoring and quality assurance practices.Design and optimize data models to effectively fulfill business and product requirements.Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.Maintain strong partnerships with backend, data science, and machine learning teams for seamless integration of data systems.
Senior Data EngineerJoin Brillio as a Senior Data Engineer and leverage your expertise in data engineering to lead innovative projects. You will work with cutting-edge technologies to design and implement systems that enhance data management and analytics capabilities. Collaborate with cross-functional teams to transform data into actionable insights and drive strategic decisions.
Full-time|On-site|Bangalore, India; Gurgaon, India
About WPP Media WPP is the creative transformation company. We harness the power of creativity to build brighter futures for our people, planet, clients, and communities. Discover more at wpp.com. WPP Media is WPP’s global media collective. In a world where media permeates every aspect of life, we unite the best platforms, talent, and partners to unlock limitless growth opportunities. Learn more at wppmedia.com. At WPP Media, we celebrate the strength of our culture and our people, which empowers us to provide exceptional experiences for our clients and each other. To excel in this role, you must embody WPP and WPP Media’s shared core values: Be Extraordinary by leading collectively to inspire transformational creativity. Create an Open environment by balancing people and client experiences through cultivating trust. Lead Optimistically by championing growth and development to mobilize the enterprise.
