Data Engineer

HPE — Bengaluru, Karnātaka, India

We are looking for a talented Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem. You’ll collaborate closely with Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions. What You’ll Do Engineering & Delivery • Build, maintain, and optimize data pipelines for batch and streaming workloads. • Develop reliable data models and transformations to support analytics, reporting, and operational use cases. • Integrate new data sources, APIs, and event streams into the platform. • Implement data quality checks, testing, documentation, and monitoring. • Write clean, performant SQL and Python code. • Contribute to improving performance, scalability, and cost-efficiency across the data platform. Collaboration & Teamwork • Work closely with other senior engineers and architects to implement architectural patterns and best practices. • Collaborate with analysts and data scientists to translate requirements into technical solutions. • Participate in code reviews, design discussions, and continuous improvement initiatives. • Help maintain clear documentation of data flows, models, and processes. Platform & Process • Support the adoption and roll-out of new data tools, standards, and workflows. • Contribute to DataOps processes such as CI/CD, testing, and automation. • Assist in monitoring pipeline health and resolving data-related issues. What you need to bring: • 4-8 years of experience as a Data Engineer or similar role. • Hands-on experience with Snowflake (mandatory)—including SQL, modeling, and basic optimization. • Strong knowledge of current arhitecure best practices of data pipelines and DWH. • Experience with dbt (o

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