Description
The Senior Engineer – Data Engineering & BI will build and maintain batch and streaming data pipelines on AWS Glue and Apache Spark, manage the Glue Data Catalog, develop Power BI semantic models and reports, write and optimize SQL, and implement data quality and monitoring. The role requires 5–7 years of data engineering or ETL experience, hands-on expertise with Spark, AWS Glue, Power BI, SQL, and dimensional modeling, plus practical use of AI-assisted development tools. It is based in Hyderabad, India, with a hybrid arrangement requiring three days in the office, and offers a CTC of 21.5 LPA.
