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Tier-1 brand, generalist title, mid-level experience and metro location create high applicant competition.
Data engineering skills are broadly transferable across industries.
Explicit 2+ years plus specific Python, AWS, and database requirements increase filtering strictness.
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Develop and maintain data pipelines and tools for the Private Equity & Venture Capital product using Python and AWS technologies.
Ensure high product stability and performance improvements by implementing automated monitoring and metrics.
Perform code reviews, unit/integration testing, and collaborate in Agile/Scrum environment for smooth product delivery.
Bachelor's or master's degree in Computer Science.
Minimum 2 years overall industry experience with 1-2 years in Python development.
Strong experience with Python, Pandas, NumPy, and AWS services (e.g., Kinesis, Glue, Redshift, EC2, S3, Lambda).
Experience with relational databases (POSTGRES or MSSQL) and GitHub-based development workflows.
Experienced in building and deploying production-level services in Python within AWS environments.
Skilled in working in Agile/Scrum teams with active collaboration and communication.
Comfortable working with automated monitoring tools and proactive in performance tuning and product stability.