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Metro Bangalore, common Data Engineer title, and broad cloud skills increase competition despite seniority and niche Snowflake/DBT.
Financial-industry data platform experience and compliance knowledge make background fit highly sensitive.
15+ years requirement and many mandatory Snowflake/DBT/AWS skills make shortlisting highly strict.
Build and maintain large-scale enterprise data platforms including data warehouses, operational data stores, and data marts with focus on data access, security, privacy, and governance.
Lead technical design and development activities; manage deliverables and coordinate release management for data engineering projects.
Collaborate with architects and compliance teams to enhance data platform design, ensure compliance, automate processes, and deliver business value across global teams.
15+ years of experience designing and building data warehouses and data lakes.
Strong expertise with Snowflake platform and AWS services such as S3, Lambda, Glue, Step Function.
Hands-on experience with ELT/ETL tools like DBT, Qlik Replicate, Snowpark; expert SQL skills; experience with data pipeline orchestration tools like Airflow.
Work Location: Bangalore; Role Type: Hybrid; Experience with financial industry data compliance (GDPR, CCPA, HIPAA) is a plus.
Senior-level data engineering professional with deep expertise in large-scale data warehouse architecture and cloud-based data platforms (Snowflake, AWS).
Experienced in leading teams, managing complex deliverables, and collaborating cross-functionally including global stakeholder engagement.
Operational focus on technical debt reduction, automation, process optimization, and compliance in regulated financial services environments.