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Tier-1 brand, metro Bangalore, broad data engineering requirements and popular title drive high competition.
Specialized data platform, dbt, Snowflake and large-scale migration experience increase industry-specific fit requirements.
Explicit 12+ years requirement plus required AWS certification, dbt and cloud platform skills make filters highly selective.
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Design and develop reliable, scalable data and ML pipelines with comprehensive test coverage within defined timeframes.
Provide expertise and governance to delivery teams to ensure high quality data-centric solutions that align with strategic roadmaps.
Integrate diverse internal and external data sources to build group data assets and promote best coding standards and risk management.
12+ years of experience in data engineering or related field with expert knowledge of Git, Jenkins/TeamCity/Octopus Deploy/Github Actions, SQL/PLSQL, Hadoop, Snowflake, dbt, data warehousing, ETL, and AWS Cloud services (EMR, EC2, S3, Auto-scaling).
Bachelor’s or Master’s degree in engineering in Information Technology.
Hands-on experience with cloud data platforms, distributed data pipelines, and build/deployment tools required.
Work Experience Required: 12+ years explicitly mentioned.
Experienced in managing large migration programs from on-premises to cloud, automating at scale and delivering data engineering solutions aligned with core data design and transformation concepts.
Comfortable engaging with senior stakeholders and working independently across multiple initiatives with an emphasis on risk awareness and technical debt management.
Skilled in applying modern engineering and Agile practices to build reusable data assets supporting analytics and business objectives.