Role Overview :

We are seeking a Senior Data Engineer with strong expertise in PySpark and Oracle Database 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.

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.

Mandatory Requirements :

- PySpark : Strong hands-on development experience.

- Oracle Database : SQL, PL/SQL, and performance tuning.

- Strong proficiency in Python programming.

- Experience in ETL development and data pipeline design.

- Experience working with large-scale datasets / distributed systems.

Additional Details :

- Location : Hyderabad (Only Hyderabad candidates).

- Notice Period : Immediate.

- Experience : 5 Years.