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Bangalore metro and generic Data Engineer role increase competition; moderate brand and Snowflake niche partially counterbalance.
Core data engineering skills transfer across industries despite financial context.
Mandatory Snowflake, SQL, and strong data modelling skills create strict technical filters.
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Design, develop, and optimize scalable ETL pipelines and data models primarily on Snowflake for large-scale data processing and analytics.
Ensure high data quality, system stability, and performance while troubleshooting complex data issues and leading production support of critical data pipelines.
Leverage AI tools actively for coding, debugging, and automation to enhance data engineering workflows and productivity.
Strong expertise in SQL, Snowflake ETL and data modelling, and relational databases including SQL Server, Oracle, and PostgreSQL.
Experience with dimensional data modelling concepts such as star schema, snowflake schema, and Slowly Changing Dimensions (SCD).
Familiarity with integration patterns involving microservices, APIs, and CI/CD version control (Git).
Work Experience Required: Not explicitly mentioned in the JD. Location: Bangalore, India.
Experienced with designing enterprise-scale, scalable data models and pipelines, particularly in Snowflake-based cloud environments.
Comfortable owning end-to-end data pipeline solutions, from design through production support, including performance optimization and compliance with SDLC processes.
Skilled in leveraging AI-assisted engineering tools to improve productivity and quality in data engineering tasks.