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Tier-1 bank, metro location, mid-level generalist data role with broad required skills drives high competition.
Core data engineering skills are transferable, but regulatory controls and governance increase industry specificity.
Explicit 5+ years, mandatory Java/Python, data-platform and regulated-environment controls create high shortlisting strictness.
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Lead design, build, and operational ownership of reliable, scalable batch and streaming data pipelines, ensuring observability, security, and production support.
Own data modeling, schema evolution, data contracts, and SLAs/SLOs for curated domain datasets within a regulated enterprise environment.
Drive engineering standards and implementation in Java/Python for data processing, orchestration, transformation, search/index pipelines, and enable AI/ML integration with governance adherence.
5+ years of applied software engineering experience with formal training or certification.
Hands-on proficiency in Java and Python for production-grade data systems and pipelines.
Advanced SQL skills with experience in data modeling, pipeline orchestration (e.g., Airflow), and transformation frameworks (e.g., dbt).
Experience working in regulated environments requiring security controls, risk management, and auditability.
Proven leadership in end-to-end delivery and support of curated data platforms and pipelines in large-scale, regulated enterprises.
Strong technical expertise in batch and stream processing, orchestration, and search/indexing workflows with disciplined SDLC practices.
Experienced in integrating AI-assisted development tools and delivering responsible AI-enabled data solutions within strict governance and operational discipline.