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Tier-1 bank, popular data role, metro location and broad tech stack drive high competition.
Core data engineering skills are transferable, but regulated banking governance increases specificity.
Extensive mandatory tech stack and regulated bank experience imply high shortlisting strictness.
Develop innovative data solutions including pipelines, modelling, and ETL design to simplify organizational data usage.
Lead advanced automation of data engineering pipelines to reduce manual processing and improve efficiency.
Build scalable data architecture and streaming data ingestion solutions while managing platform costs and ensuring data security.
Work Experience Required: Not explicitly mentioned in the JD but role offered at Vice President level implying senior experience.
Strong expertise in PySpark, SQL, Airflow, MongoDB, Apache Iceberg, and AWS with experience in CDC, lakehouse architecture, and production resilience.
Experience leading engineers and managing CI/CD, automation, governance, and risk-controlled delivery in a regulated environment.
Role location fixed in Chennai, India; all workdays to be carried out in India.
Experienced leader in building configuration-first data platforms using reusable frameworks and metadata-driven pipelines.
Skilled in managing data engineering projects within governed and regulatory environments, ensuring compliance and code quality.
Capable of engaging diverse stakeholders proactively with strong communication skills and strategic business understanding.