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Generic mid-level title, metro locations, common skills, and broad hiring pool increase competition.
Core data engineering skills (SQL, Python, Snowflake) transfer across industries, lowering background sensitivity.
Explicit 3–4 years requirement and mandatory SQL/Python skills enforce strict shortlisting.
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Design and develop scalable, secure data ingestion pipelines and warehousing solutions using Python, SQL, AWS, and Snowflake.
Implement data governance policies ensuring data quality, security, compliance, and cost-effective cloud resource utilization.
Collaborate with cross-functional teams to integrate and optimize data platforms and troubleshoot complex queries.
3-4 years of experience with SQL and Python, including data modelling and performance optimization.
Bachelor's degree in Information Technology, Data Engineering, or equivalent education and experience.
Experience with data warehousing concepts such as ETL, data governance, and data integration pipelines.
Knowledge of AWS and Snowflake preferred but not explicitly mandatory.
Experienced data engineer comfortable implementing and optimizing data pipelines and warehouses at scale using SQL, Python, AWS, and Snowflake.
Capable of enforcing data governance and cost management in cloud environments to align with business and technical standards.
Practiced in collaborating across development, operations, and business teams to ensure seamless data platform integration and troubleshooting.