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Strong Tier-1 brand, generalist mid-level role, metro location, and broad AWS/Python requirements increase applicant competition.
Python and AWS data engineering skills are easily transferable across industries.
Explicit 2+ years and required Python/AWS production experience create moderate filtering.
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Develop and maintain scalable data pipelines and tools using Python and AWS technologies for FactSet’s Private Equity & Venture Capital product.
Deliver high-quality, reusable code with unit and integration tests, owning end-to-end product components and ensuring high stability and performance.
Collaborate in an agile Scrum environment, participate in code reviews, provide technical solutions, and share knowledge internally and externally.
Bachelor’s or Master’s degree in Computer Science.
2+ years overall industry experience with 1-2 years specifically in Python development.
Strong proficiency with Python, Pandas, NumPy, and working knowledge of AWS services such as Kinesis, Glue, Redshift, EC2, S3, Fargate, Lambda, EMR.
Experience with relational databases (preferably POSTGRES or MSSQL) and GitHub development processes.
Experience building and deploying production-level services in Python within AWS cloud environments.
Comfortable working in agile Scrum teams and collaborating cross-functionally using Jira and Confluence.
Skilled in performance tuning and monitoring software using metrics for continuous improvement.