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Tier-1 brand, metro location, mid-level generalist data role with broad Python/AWS requirements increases competition.
Core Python, AWS, and data-pipeline skills are highly transferable across industries, lowering background sensitivity.
Explicit minimum years plus mandatory Python, Pandas, AWS and database experience creates strict shortlisting filters.
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Develop and maintain scalable data pipelines and tools using Python and AWS technologies for the Private Equity & Venture Capital product.
Ensure high product stability, implement performance improvements, and own end-to-end product delivery in an Agile environment.
Conduct code reviews, write high-quality reusable code, and collaborate effectively with internal teams for product delivery.
Bachelor's or master's degree in Computer Science.
Minimum 2 years overall industry experience with 1-2 years in Python development.
Experience with AWS services such as Kinesis, Glue, Redshift, EC2, S3, Fargate, Lambda, EMR.
Proficient in Python, Pandas, NumPy, relational databases (preferably POSTGRES, MSSQL), and GitHub-based development processes.
Experience building and deploying production-level services in an Agile/Scrum environment.
Skilled in problem-solving and optimizing product performance through monitoring and metrics.
Familiarity with AI coding tools (e.g., Claude Code, Cursor, Codex) and infrastructure-as-code (Terraform) is a plus.