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Tier-1 brand, mid-level data engineer role in Bangalore with broad skillset attracts high competition.
Core data engineering skills are transferable across industries, but banking governance increases role specificity to medium.
Explicit 5+ years plus required Java/Python, SQL, orchestration, dbt, and governance increases shortlisting strictness.
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Lead design, build, and operation of reliable, scalable batch and streaming data platforms and pipelines powering business-critical analytics, AI workflows, and data products.
Own data modeling, schema evolution, and implementation of ETL/ELT pipelines with strong validation, operational SLAs, and governance controls in a regulated enterprise context.
Set technical standards and lead adoption of AI-assisted development tools while partnering cross-functionally to ensure secure, compliant, and operationally stable data solutions.
5+ years of applied software engineering experience with formal training or certification.
Expert hands-on proficiency in Java and Python, including performance-minded development and maintainability.
Advanced SQL skills including data modeling, schema design, and pipeline orchestration experience (e.g., Airflow) with operational SLAs and alerting.
Experience building production-grade curated datasets and data pipelines end-to-end in regulated environments; strong secure engineering fundamentals (authentication, authorization, secrets management).
Proven technical leadership delivering large-scale, high-throughput data processing solutions using Java, Python, and orchestration frameworks with strong CI/CD and testing discipline.
Experienced in integrating AI/ML-enablement in data engineering workflows, driving responsible AI adoption with governance, security, and operational rigor.
Comfortable operating cross-functionally with product, UX, platform, and control teams in regulated, enterprise-grade environments emphasizing security, auditability, and risk controls.