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Tier-1 brand, Bangalore metro role with broad data engineering and streaming requirements increases competition.
Core data engineering skills are transferable, but FinTech/settlements experience increases preference.
Explicit 10+ years, mandatory leadership and specific data/streaming tech create strict shortlisting filters.
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Lead and deliver end-to-end development of large-scale, distributed data and analytics systems supporting high-volume security settlements.
Collaborate with product owners and business analysts to define requirements, milestones, and backlog priorities in an agile environment.
Ensure system architecture design, coding standards, DevOps practices, deployment, and production performance meet business needs and operational excellence.
10+ years of experience building distributed systems handling high data volumes.
5+ years experience owning delivery and leading development teams with backend and/or data engineers.
Hands-on expertise with Spark, Databricks, Snowflake, Python for scalable ETL/ELT pipelines, Kafka, SQL/MongoDB, and RESTful/GraphQL APIs.
Location: Mumbai or Bangalore; Work Experience Required: 10+ years as specified in JD.
Proven leadership in software delivery for complex, enterprise-scale financial systems, preferably in fintech or financial services.
Strong technical expertise in cloud architectures, especially Microsoft Azure preferred, with experience in scalable data infrastructure and real-time streaming.
Experience working in agile, global delivery teams collaborating closely with product owners and business stakeholders.