scale environment. • Knowledge of handling high data volumes (ETL) using Spring Batch, Multi-Threading, Job Scheduling. • Solid knowledge of SQL in the context of a major RDBMS such as DB2, Oracle. • Exposure and hands on in Microservices, Distributed Cache (REDIS, Couchbase) and Cloud technologies • Good to have knowledge and experience in Big data - HBASE and Impala concepts. • Experienced with More ❯
on Kafka. Have ability to set up and configure Kafka brokers. Proficient with containerization(Docker, Kubernetes, Docker Swarm, etc.). Proficient with RDBMS systems like SQL Server, Oracle or DB2 or No-SQL DBs like Mongo DB. Passionate about delivering zero defect code that meet or exceed the proposed defect SLA and have high sense of accountability for quality More ❯
JSON and XML Hands-on experience with Kafka (setup, maintenance, stream processing) Proficiency with containerisation tools such as Docker and Kubernetes Strong working knowledge of RDBMS (SQL Server, Oracle, DB2) and/or NoSQL (e.g., MongoDB) Experience in building CI/CD pipelines and DevOps tooling Solid background in the payments, fintech, or financial services sectors preferred Familiarity with More ❯
