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Mid-level generalist data engineering role in Hyderabad with broad multi-skill requirements.
Core data engineering skills are transferable, but preferred banking and mainframe experience increases domain specificity.
Explicit 7-year requirement plus mandatory Oracle, ETL, Kafka and GCP increases shortlisting strictness.
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Develop and modernize enterprise banking applications using cloud-native microservices architecture with Kafka and Google Cloud Platform.
Build Java microservices, REST APIs, and integrate Kafka event streams, deploying on GCP with performance tuning and caching.
Develop and optimize enterprise ETL pipelines for core banking migration, supporting migration testing, data validation, and production issue resolution.
7 years of relevant work experience.
Strong skills in Java Spring Boot microservices, Kafka, REST APIs, Google Cloud Platform, Oracle SQL, and ETL tools (Informatica/DataStage).
Experience with Oracle PL/SQL, Unix, Python, and SQL query optimization.
Location requirement: Hyderabad, Andhra Pradesh, India; No travel required.
Experienced in enterprise-level banking application development and core banking modernization.
Proficient operating in hybrid environments combining Java microservices and complex ETL/data migration pipelines.
Comfortable working with distributed systems, cloud technologies (GCP), and integrating multiple data sources including mainframe and modern data platforms.