Principal / Staff Data Engineer

Join our mission at Helpshift, where we aim to revolutionize customer service by providing a seamless, mobile-first experience. In a world where consumers expect immediate and respectful interactions, our platform empowers B2B brands to engage with their customers through innovative in-app chat solutions. We have transformed traditional customer service methods, moving away from sluggish email exchanges to dynamic real-time conversations that prioritize user convenience.Our cutting-edge AI-powered chatbots and automation tools enable brands to offer instant resolutions, enhancing the role of customer service agents by equipping them with powerful automation tools that work seamlessly. Trusted by industry leaders such as Scopely, Supercell, Brex, EA, and Square, Helpshift is currently enabling over 900 million active consumers on more than 2 billion devices globally.Our Impact:85,000 requests per second30 milliseconds average response time300 GB data transferred per hour1,000 virtual machines deployed during peak timesAbout Our Team:At Helpshift, we understand that consumers value their time. Therefore, we provide brands with essential insights into their customer service operations through various data products, including in-app analytics dashboards and data-sharing integrations.The Data Platform team is pivotal in creating and maintaining the infrastructure required to support these analytics products at scale. We are responsible for building and managing robust data pipelines, databases, and other data structures to ensure data reliability and accessibility. Our team also collaborates with internal business intelligence and machine learning groups to provide data operations support, handling 2 million events per minute and processing over 1 terabyte of data daily.Your Role:Design and maintain robust data pipelines for both data ingestion and operational analytics, utilizing data from 2 billion devices and 900 million monthly active users.Develop customer-facing analytics products that provide actionable insights and facilitate anomaly detection.Work closely with data stakeholders to address their data needs and participate in the analytical process.Draft design specifications, test plans, deployment strategies, and scaling methodologies for data pipelines.Mentor team members and contribute to organizational knowledge sharing.

Role Overview Smiths Group plc is hiring an Engineer II for the DGSS Engineering team in Pune. This position focuses on strengthening engineering processes and supporting technical improvements across the group. What You Will Do Work with cross-functional teams to improve and implement engineering processes Contribute to solutions that raise quality and efficiency standards Support ongoing technical initiatives within DGSS Engineering

Smiths Group seeks an Engineer II specializing in Regulatory Engineering for its Pune location. This role centers on supporting regulatory compliance and contributing to various engineering projects, ensuring products meet required standards and regulations. Key responsibilities Participate in engineering projects with attention to regulatory requirements Work alongside teams to verify that products comply with applicable standards Assist in preparing documentation and managing processes tied to product compliance Team impact This team plays a part in delivering solutions that enhance product safety and performance. The work supports both compliance and the overall quality of products released to the market.

We are seeking a dedicated Engineer II to join our Wet Seal System Pre-order team. This is an exciting opportunity for recent graduates who are eager to kickstart their engineering careers. You will play a key role in supporting the engineering team with pre-order processes, ensuring that our clients receive top-notch service from the outset. Your innovative mindset and technical skills will be essential in assisting with system configurations and customer specifications.

About Us Mindtickle stands at the forefront of AI-driven revenue enablement, merging practical learning with deal execution to catalyze behavior change and maximize revenue per representative. Acknowledged by industry analysts as a market leader, we proudly hold the title of G2's #1 product for sales onboarding and training. Our relentless pursuit of innovation has culminated in accolades such as the "AI-based Sales Solution of the Year" at the AI Breakthrough Awards and a Gold Stevie Award for Sales and Customer Service, underscoring our commitment to product excellence and exceptional customer support.Join Our AI/ML Engineering TeamOur mission is to empower revenue teams by pinpointing skill gaps, offering actionable insights, and facilitating real-time improvements in workflow. The CoE-ML team is integral to this mission, embedding AI throughout Mindtickle's product suite via CoPilots, hyper-realistic AI role plays, automated content curation, and smart coaching. We leverage cutting-edge Generative AI and Large Language Model technologies, uphold stringent evaluation standards, and manage scalable production AI systems. As we transition to an AI-native product model, we expect our engineers not only to develop AI functionalities but also to adopt an AI-first mindset in all aspects of their work.

Join Smiths Group as an Engineer II specializing in Wet Seal Systems in our Post-Order department. As a key member of our engineering team, you will leverage your technical expertise to deliver innovative solutions and ensure customer satisfaction. This role involves close collaboration with various departments, focusing on the seamless execution of projects and contributing to product improvements.

Join Assent as an Intermediate Data Engineer and contribute to our mission of making data more accessible and actionable. In this role, you will work with cutting-edge technologies to develop data pipelines, optimize data flows, and ensure data integrity across our platforms.

Join our dynamic team at v4c as an Associate Data Engineer, where you'll embark on an exciting journey to master the latest data engineering tools and methodologies. Key Responsibilities: Engage in structured training programs to learn about cutting-edge data engineering technologies and best practices. Collaborate effectively with senior engineers in designing and developing robust data pipelines and processing systems. Work hands-on with real-world datasets and cloud platforms to gain invaluable practical experience.

Join HackerOne as a Senior Data Engineer and be a cornerstone in our mission to help organizations find and fix vulnerabilities in their systems. You will be responsible for designing, developing, and maintaining robust data pipelines that ensure our data is clean, accurate, and accessible for key stakeholders.In this role, you will collaborate with cross-functional teams to understand their data needs and deliver innovative solutions that improve data-driven decision-making processes. Your contributions will play a vital role in our analytics capabilities and overall business strategy.

Empower Hardware Innovators to Create Superior Products, SwiftlyAt Fictiv, we thrive on enabling product innovators to bring their visions to life.Fictiv stands at the forefront of global manufacturing and supply chain solutions, empowering organizations to scale seamlessly across our four manufacturing hubs located in India, Mexico, China, and the United States. Businesses turn to Fictiv for unparalleled production quality, optimized supply chain logistics, and effective risk management—facilitating a smooth transition from prototypes to full-scale manufacturing with agility and assurance. With over 35 million commercial and prototype parts delivered across various industries, including aerospace, robotics, automotive, and climate tech, Fictiv is dedicated to accelerating innovation and fostering resource optimization for sustainable growth. Why Join Us?Unleash Your CreativityBreak free from the constraints of conventional processes. At Fictiv, a growth mindset is woven into our culture, granting you the creative freedom and collaborative support to explore bold ideas and meet our sales and customer objectives.Advance Your CareerBe part of a team that nurtures your growth—surrounded by passionate peers who inspire you to reach your fullest potential.Role ImpactJoin our Data Intelligence team, where you will develop insightful reports and dashboards that translate data from our warehouse into actionable insights. Collaborate closely with cross-functional teams and utilize various Business Intelligence (BI) technologies to promote data-driven decision-making throughout the organization.

At SiteMinder, we value the unique contributions of our team members as the driving force behind our success. We foster an environment that embraces diversity, encouraging teams to incorporate a rich variety of voices, identities, backgrounds, experiences, and perspectives. Our inclusive culture empowers employees to express their authentic selves at work, ensuring that our differences fuel our ongoing revolution in delivering exceptional service to our customers. Together, we achieve more!About UsSince 2006, our passion for technology has led us to create a world-class hotel commerce platform that simplifies the booking process for accommodation owners. We empower hotels of all sizes—from boutique establishments to major chains—by enabling travelers to easily book a wide range of accommodations, from igloos to castles and everything in between.Today, we proudly support over 50,000 hotels across 150+ countries, processing more than 130 million reservations annually through our innovative technology.The OpportunityWe are on the lookout for an exceptionally skilled and hands-on Principal Data Engineer to become the cornerstone of our data platform. In this pivotal role, you will align executive strategy with technical execution, collaborating closely with our Chief Data Officer and VP of Data & Business Systems.The ideal candidate will be an expert in the modern data stack, particularly with Databricks and dbt, showcasing a profound passion for clean Kimball-style data modeling and the Medallion Architecture. Beyond individual contributions, you will serve as a mentor and coach, committed to enhancing the engineering standards of our team.Key ResponsibilitiesDesign & Implementation: Create and deploy robust, end-to-end data pipelines using Databricks, adhering to the Medallion Architecture.Data Modeling Authority: Serve as the definitive expert on data modeling, implementing Kimball best practices (including Star Schemas and Dimensional Modeling) to optimize data performance and usability.dbt Project Leadership: Drive the implementation and enhancement of dbt projects, ensuring modular architecture and clear documentation.

Lead Data EngineerJoin our dynamic team at Brillio as a Senior Data Engineer, where you will be at the forefront of innovative data solutions. In this pivotal role, you will lead the design and implementation of data architecture, ensuring robust data pipelines and analytics capabilities. Collaborate with cross-functional teams to drive data-driven decision-making and enhance operational efficiency.

As a Data Governance Engineer at Assent, you will play a pivotal role in ensuring the integrity, availability, and security of our data assets. You will collaborate with cross-functional teams to establish data governance policies and best practices, enabling the organization to leverage data effectively while maintaining compliance with regulatory requirements.

About Abacus Insights Abacus Insights helps health plans unlock the full potential of their data. The company’s mission is to make healthcare data actionable, so decision-makers can move quickly and confidently. By breaking down data silos, Abacus creates a unified, reliable foundation that supports better decisions, reduces inefficiencies, and improves experiences for both members and providers. With $100 million in investment from top backers, Abacus is tackling some of healthcare’s biggest data challenges. Its platform supports GenAI applications by delivering clean, connected, and trustworthy healthcare data, which fuels automation and smarter workflows. Collaboration, curiosity, and bold thinking drive innovation here, Abacus believes teamwork sparks the best ideas. Role Overview: Data Quality Engineer (Pune, India) The Data Quality Engineer ensures the accuracy, reliability, and compliance of healthcare data within Abacus Insights’ cloud-native data management platform. This role calls for experience in data engineering, data quality frameworks, and healthcare data domains. The engineer will design automated testing, develop data validation solutions, and work closely with engineering and product teams to maintain high-quality, trustworthy datasets for health plan clients. The work directly supports both regulatory and operational standards across the company’s data ecosystem. What You Will Do Design, build, and maintain automated data quality validation frameworks, including rules engines and anomaly detection, to monitor completeness, conformity, integrity, and timeliness. Create and maintain automated test procedures for healthcare data ingestion, transformation, and downstream applications. Investigate data quality defects, analyze root causes, and recommend remediation steps. Review and refine data quality strategies, contributing to standardized processes across data pipelines. Work with Engineering, Project Management, Operations, and Connector Engineering teams to align and strengthen data quality initiatives.

Join our dynamic team at Pattern as a Senior Data Infrastructure Engineer. In this pivotal role, you will drive the design and implementation of robust data infrastructure solutions that enhance our data processing capabilities. You will collaborate with cross-functional teams to ensure seamless data flow and integration across various platforms.We are seeking a forward-thinking engineer who thrives in a fast-paced environment and is passionate about leveraging data to solve complex problems. If you possess a strong technical background and a desire to innovate, we want to hear from you!

As a Cloud Data Engineer at 66degrees, you will play a pivotal role in designing and implementing cloud-based data solutions that empower businesses to leverage data effectively. You will collaborate with cross-functional teams to develop robust data architectures, ensuring scalability and performance. Your expertise in cloud technologies will help drive innovation and efficiency.

Join our team as a Senior Data Engineer for an esteemed international client in a fully remote capacity. Collaborate with a diverse global team while working from the comfort of your home in India.Total Experience Required: 7+ YearsYour Responsibilities:Lead the design, architecture, and end-to-end delivery of scalable and low-latency streaming platform solutions to provide real-time data solutions.Develop clean, scalable code using languages such as Go, TypeScript, Node.js, Scala, Python, and SQL, while testing and deploying applications and systems.Address complex data challenges in real-time by employing optimal data architectures, frameworks, and query techniques from structured and unstructured data sources.Contribute to an engineering organization focused on delivering secure, high-quality, and scalable solutions to our clients.Engage in product and platform performance optimization and monitor live site operations.Mentor junior team members by providing and receiving constructive feedback.Our Technology Stack:AWS (including Lambda, SQS, Kinesis, KDA, Redshift, Athena, DMS, Glue, Go/TypeScript, DynamoDB), Airflow, Flink, Spark, Looker, EMRContinuous deployment process managed through GitLabAbout You:A Bachelor's degree in a technical field (e.g., Computer Science or Mathematics).3+ years of experience in real-time, event-driven architecture.3+ years of experience with modern programming languages including Scala, Python, Go, and TypeScript.Proven experience in designing complex data processing pipelines.Familiarity with data modeling (including star schema and dimensional modeling).Experience in query optimization.Knowledge of Kafka is a plus.Experience in shipping and maintaining code in production.A collaborative mindset and a passion for sharing ideas.Why Join Us? A pivotal moment for growth and expanding opportunities.‍ We prioritize our people and promote a healthy work-life balance. A fast-paced learning environment with an entrepreneurial spirit and strong team camaraderie. A diverse and multicultural workforce with over 45 nationalities represented. Competitive salary and comprehensive benefits, including health coverage, meal provisions, transportation, and wellness initiatives.Diversity, Equity, and Inclusion Statement:We believe that diversity, equity, and inclusion are fundamental to our journey, regardless of origins, identity, background, or orientation.

Role Overview Syngenta Group is hiring an Engineering Lead for the Data & Analytics team in Pune. This position leads an engineering group focused on building and improving data solutions. The role works closely with colleagues from different functions to design and implement strong data architectures. What You Will Do Guide a team of engineers in developing and delivering data and analytics solutions Collaborate with other teams to shape and maintain effective data architectures Support the creation of analytics tools that help stakeholders make informed decisions

Role Overview:We are on the lookout for a dynamic Big Data Lead who will play a pivotal role in taking our data capabilities to the next level. Your primary focus will be on solving intricate data challenges using cutting-edge big data technologies, dedicating almost 50% of your time to hands-on coding tasks.Key Responsibilities:Develop and manage large-scale text data processing and event-driven data pipelines, optimizing performance across CPU, network IO, and disk IO.Utilize cloud-native services on platforms such as AWS and GCP to enhance data processing and storage capabilities.About You:You possess a strong foundation in computer engineering, with expertise in Unix, data structures, and algorithms.You have successfully designed and implemented multiple big data modules and data pipelines capable of handling vast volumes of data.Passionate about technology, you have experience in initiating and executing projects from the ground up.