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Tier-1 brand, metro location, popular mid-level data role with broad skills increases candidate competition.
Core Snowflake, SQL and ETL skills are broadly transferable, with moderate finance-domain sensitivity.
No explicit years but mandatory Snowflake, advanced SQL and data modelling create moderate shortlisting filters.
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Design, develop, and optimize scalable ETL pipelines and dimensional data models on Snowflake, ensuring data quality and performance.
Lead production support and root cause analysis for complex data pipelines; collaborate with architects and business teams for scalable data solutions.
Leverage AI-powered tools for SQL writing, pipeline design, debugging, and automation to enhance data engineering productivity.
Strong expertise in SQL, Snowflake ETL, and data modelling (star schema, SCD, dimensional modelling).
Experience with multiple relational databases (SQL Server, Oracle, PostgreSQL).
Familiarity with microservices, API integration, version control (Git), and CI/CD processes.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in designing enterprise-scale data models and pipelines with a focus on long-term scalability and performance optimization.
Comfortable working as a technical lead and mentor within Agile environments, collaborating with architects, developers, and business stakeholders.
Skilled at applying AI-driven tools in data engineering workflows and driving best practices in data governance and compliance.