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Mid-level metro Snowflake data engineer role with common skills attracts strong candidate density.
Snowflake/AWS/Python skills are transferable, but financial services compliance preference increases domain specificity.
Explicit 5+ years plus mandatory Snowflake, SQL, AWS, and Python increases screening rigidity.
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Design, build, and maintain ELT data pipelines using Snowflake to support data ingestion and transformation.
Lead offshore development teams implementing best practices for data engineering and ELT workflows.
Optimize data pipelines for performance, scalability, and reliability within Snowflake and ensure compliance with financial services data governance.
Bachelor’s degree in Computer Science, Information Technology, or related field.
5+ years of experience in data engineering focusing on ELT and pipeline development.
Hands-on experience with Snowflake, including data sharing, secure views, and performance tuning.
Proficiency in SQL, AWS Technologies (Glue, EMR), and Python for data engineering workflows; onsite presence in Gurugram, India, 4 days/week.
Experienced in leading technical teams and collaborating with diverse stakeholders across time zones.
Strong domain knowledge or experience in financial services, specifically asset management or alternative investments, with awareness of data security and compliance.
Skilled in implementing scalable, performant ELT solutions on cloud platforms like AWS, with familiarity in data orchestration tools and visualization preferred but not mandatory.