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- Position Details Role Title: Senior Data Engineer Experience Required: 7+ Years Location: Hyderabad, India Employment Type: Full-Time Business Unit: Data Engineering / Analytics 2. Role Overview We are seeking a Senior Data Engineer with strong expertise in PySpark and Oracle Database (Mandatory) to design and build scalable data processing solutions. The role involves working on enterprise-grade data platforms, transforming legacy systems, and delivering high-performance data pipelines in a fast-paced environment. 3. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark Work with Oracle Database (SQL / PL-SQL) for data extraction, transformation, and performance optimization Convert legacy SQL/PL-SQL logic into modern data processing frameworks Build and manage ETL workflows ensuring high data quality and integrity Optimize Spark jobs and database queries for performance and efficiency Collaborate with architects, developers, and business teams to deliver solutions Ensure production-ready, maintainable, and scalable code Perform troubleshooting and performance tuning of data pipelines 4. Mandatory Requirements (Must Have) PySpark Strong hands-on development experience (Mandatory) Oracle Database SQL, PL/SQL, and performance tuning (Mandatory) Strong proficiency in Python programming Experience in ETL development and data pipeline design Experience working with large-scale datasets / distributed systems 1. Position Details Role Title: Senior Data Engineer Experience Required: 7+ Years Location: Hyderabad, India Employment Type: Full-Time Business Unit: Data Engineering / Analytics 2. Role Overview We are seeking a Senior Data Engineer with strong expertise in PySpark and Oracle Database (Mandatory) to design and build scalable data processing solutions. The role involves working on enterprise-grade data platforms, transforming legacy systems, and delivering high-performance data pipelines in a fast-paced environment. 3. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark Work with Oracle Database (SQL / PL-SQL) for data extraction, transformation, and performance optimization Convert legacy SQL/PL-SQL logic into modern data processing frameworks Build and manage ETL workflows ensuring high data quality and integrity Optimize Spark jobs and database queries for performance and efficiency Collaborate with architects, developers, and business teams to deliver solutions Ensure production-ready, maintainable, and scalable code Perform troubleshooting and performance tuning of data pipelines 4. Mandatory Requirements (Must Have) PySpark Strong hands-on development experience (Mandatory) Oracle Database SQL, PL/SQL, and performance tuning (Mandatory) Strong proficiency in Python programming Experience in ETL development and data pipeline design Experience working with large-scale datasets / distributed systems
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