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Tier-1 bank, metro location and a generalist Data Engineer role increase candidate competition.
Banking payments and SWIFT needs increase industry specificity despite transferable core data engineering skills.
Multiple mandatory technologies and banking domain controls make candidate screening stringent.
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Lead the design, development, and maintenance of scalable data architectures, pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Develop real-time event processing applications using Kafka Streams, Apache Flink, and integrate data in multiple formats including ISO 20022 XML and SWIFT MT.
Collaborate with data scientists for machine learning model deployment and drive operational effectiveness including risk mitigation and policy development.
Experience with Databricks, AWS, Kafka, Spring Boot, and Apache Flink for real-time processing pipelines.
Strong programming skills including clean, testable code using JUnit 5 and Mockito; experience with Git workflows.
Understanding of data structures, algorithms, and cloud technologies like Snowflake, AWS, Databricks.
Work Experience Required: Not explicitly mentioned in the JD; Role is based in Pune, India.
Proven ability to lead teams or projects with complex technical ownership in data engineering and real-time streaming.
Experience working with cloud-based data platforms and building data products in a regulated financial environment.
Strong collaboration skills with cross-functional teams including data scientists and business stakeholders for strategic digital solutions.