The candidate must have 4+ years hands-on IT experience, preferably in the financial services industry working on all aspects of SDLC with focus on large volume data processing in Java and Relational Databases, applying complex business rules, performing transformation, aggregation and designing data storage. The candidate must have strong ability to work on multiple IT projects simultaneously, working with the stake holders, clients, and other system owners to drive the projects to successful completion. Responsibilities will include technical analysis, design, development and perform enhancements. The candidate will participate in following activities: Hands-on development experience working with large data volumes, building distributed processing using Java, Python, data frames, APIs, externalizing business rules etc. Understand parallel data processing concepts to build scalable process. Using APIs for data exchange, knows how to work with multiple data structures and formats e.g. JSON, flat files, Parquet, Orc etc. Meta-data/config driven setup for ease of change. Strong knowledge of database table partitions, data distribution, parallel loads and extracts working on a relational database (Db2, Greenplum or other technologies) Build batch vs. event driven data processing. Design for high level of concurrency to ensure data integrity without compromising performance Working in an agile squad as a contributor, working with other developers towards a common goal Modelling and implementing database schemas