AVP - Data engineer

Build and maintain data pipelines, data warehouses, and data lakes to ensure accurate, accessible, and secure data. Design and implement scalable data architectures, including Databricks-based pipelines on AWS, and real-time processing with Kafka Streams, Spring Kafka, and Apache Flink. Develop parsers for ISO 20022 XML, SWIFT MT, JSON, and flat files; create target AVRO schemas; implement stateful transformations (joins, aggregations, windowing). Integrate with source systems via IBM MQ and Kafka topics; write clean, testable code with unit/integration tests; participate in code reviews and Scrum ceremonies. Collaborate with data scientists to build and deploy machine learning models; ensure data quality, governance, and risk controls; embody Barclays Values and Mindset while driving innovation and operational excellence. This role is based in Pune, with offices at Gera Commerzone SEZ, India, and requires leadership in guiding a team to deliver across data platforms and real-time processing capabilities.