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Tier-1 brand, metro location, and broad generalist data-engineering skillset increase applicant competition.
Core data engineering skills are transferable across industries, but finance/risk platform preference raises domain specificity.
VP-level role with extensive mandatory data engineering stack and regulated finance expectations.
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Lead the design, build, and maintenance of scalable data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Drive strategy and continuous improvement for data engineering infrastructure and deployment pipelines in a risk, finance, and treasury context.
Collaborate with data scientists to build and deploy machine learning models and oversee adherence to security and compliance requirements.
Strong hands-on expertise in Oracle Database and medium to complex SQL query writing.
Extensive experience with Hadoop ecosystem (Hive), AWS data engineering tools (Athena, S3, Glue, Lambda), and cloud data engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Role based in Chennai office; experience with Data Warehousing, ETL/ELT, Data Lakes, Data Modeling, and CI/CD (Git, Jenkins) mandatory.
Experience leading large-scale data engineering or modernization programs with strong stakeholder management across executive and business leadership.
Technical proficiency across cloud platforms and big data technologies with ability to guide multi-year, complex data projects.
Strategic thinker capable of advising senior management on data strategy, risk mitigation, and operational improvements in a regulated financial environment.