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High due to Tier-1 brand, metro location, mid-level generalist title, and broad skillset requirements.
Medium because core data engineering skills transfer across industries despite finance-domain content specialization.
High because JD mandates explicit 5–8 years, 3+ years people management, and specific data platform expertise.
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Lead technical development and execution of projects within the FactSet Market Aggregates team focused on index/benchmark financial data.
Design, develop, and deploy features/products; take ownership of projects including bug fixes and enhancements with a focus on scalability and cost efficiency in cloud infrastructure.
Provide technical leadership, perform code reviews, and collaborate across product and internal teams to improve processes and client experience.
Bachelor's or Master's degree in Computer Science.
5-8 years of overall Software Engineering/Data Engineering experience.
3+ years of people management experience.
Hands-on experience with Python, advanced knowledge of distributed massively parallel columnar databases (e.g., Vertica, AWS Redshift), and practical SQL/NoSQL database skills; familiarity with AWS Cloud technologies including Redshift, S3, Lambda.
Experienced leader capable of providing technical guidance while managing a team and collaborating with product stakeholders.
Strong background in data warehousing, large-scale dataset handling, and cloud infrastructure particularly AWS ecosystem.
Able to translate business requirements into scalable technical solutions with ownership of end-to-end delivery and proactive process improvements.