Top Data Engineer Jobs in Hyderabad

Design, build, and maintain scalable ETL/ELT data pipelines and platforms on Azure Databricks. Ingest and transform structured and unstructured data using PySpark and Spark SQL, manage ADLS Gen2 storage, ensure data quality and performance, and collaborate with data science and BI teams to support analytics and reporting.

Design and scale end-to-end data architecture and real-time/batch pipelines to unify product telemetry, CRM, and billing into a single source of truth. Build data foundations for ML (feature pipelines, training datasets, low-latency scoring), define telemetry/event contracts, implement data quality, monitoring, governance, and enable self-service analytics.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

The Senior Data Engineer will design and optimize ETL/ELT pipelines, manage data integration, perform data validation, and support reporting solutions using various technologies.

Design, build, monitor and scale an enterprise data warehouse and pipelines. Lead data integration, ETL design, source-to-target mapping, reusable frameworks, automated testing/CI, and partner with stakeholders to deliver secure, governed analytics for product, marketing and HR use cases.

As a Lead Data Engineer, you will design and manage data pipelines, develop ETL processes, and ensure data quality. Mentorship of junior engineers is also part of the role.

The Senior Data Scientist & Engineer will build and manage data infrastructure, analyze product usage, build models, track metrics, run experiments, and communicate insights to guide product decisions.

Lead design, development, and optimization of ETL/ELT data pipelines on Databricks using PySpark and Spark SQL. Implement Delta Lake, Unity Catalog, incremental ingestion (Auto Loader/streaming), Databricks Workflows, and performance tuning. Build reusable accelerators, participate in client technical discussions, mentor junior engineers, and resolve production issues while promoting engineering best practices.