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Mid-senior data engineer in Bangalore with broad Snowflake/Python skillset attracts many qualified applicants.
Snowflake and cloud data engineering skills transfer across industries, though financial-services experience is preferred.
Mandatory 7+ years plus required Snowflake/Python/ETL skills and production experience create strict technical filters.
Design, develop, and maintain Python-based ETL/ELT data pipelines and Snowflake data warehousing solutions.
Optimize SQL queries and Snowflake compute usage to improve data pipeline performance and scalability.
Collaborate with cross-functional teams, troubleshoot production issues, and mentor junior team members.
7+ years of professional Python development experience.
Strong expertise in Snowflake, ETL/ELT pipeline development, advanced SQL, and data modeling.
Experience with cloud platforms AWS, Azure, or Google Cloud.
Bachelor’s degree in computer science, IT, data engineering, or equivalent practical experience.
Experienced in managing large-scale cloud data engineering projects with Snowflake and Python.
Demonstrates hands-on skills in SQL optimization, data modeling, and improving pipeline reliability.
Able to work within regulated or financial services environments and make implementation decisions within architecture and security standards.