1 day ago
Hyderābād, IndiaSenior
Responsibilities
- Build and maintain scalable data pipelines, tools, and systems for M&A financial data.
- Develop high-quality, reusable, and maintainable Python code and perform unit and integration testing.
- Conduct code reviews and follow engineering best practices.
- Build and deploy production-level services while improving product performance, reliability, and stability.
- Use monitoring metrics to identify and implement performance improvements.
- Collaborate with engineers, product developers, and internal teams in a Scrum environment.
- Estimate work, communicate progress in standups and Scrum meetings, and contribute to knowledge sharing.
- Take ownership of end-to-end product work and individual deliverables.
Requirements
- Bachelor’s or master’s degree in computer science.
- 5–7 years of overall industry experience.
- 3–4 years of Python experience.
- Strong proficiency with Python, Pandas, and NumPy.
- Experience with AWS services and environments, including Kinesis, Glue, Redshift, EC2, S3, Fargate, Lambda, and EMR.
- Experience with relational databases, preferably PostgreSQL and Microsoft SQL Server.
- Experience with GitHub-based development processes.
- Experience building and deploying production-level services.
- Strong analytical, problem-solving, communication, prioritization, and organizational skills.
- Hands-on knowledge of GenAI concepts.
- Preferred experience with Jupyter Notebooks, Terraform infrastructure as code, and Linux/Unix environments.
- Familiarity with Agile software development, with Scrum experience preferred.
Benefits
- Health, life, and disability insurance.
- Retirement savings plans and a discounted employee stock purchase program.
- Paid time off for holidays, family leave, and company-wide wellness days.
- Flexible work accommodations and a hybrid work arrangement in Hyderabad.
- Career progression planning and dedicated monthly learning and development time.
- Business Resource Groups and opportunities supporting volunteerism and sustainability.
Tech Stack
Categories
Data Engineering
About FactSet
FactSet builds a financial data and analytics platform used by asset managers, investment banks, hedge funds, and wealth managers for research, portfolio management, trading, and risk. Its products include the FactSet workstation, data feeds and APIs, and workflow tools like OMS/EMS, sold primarily via subscription licensing. Founded in 1978 and headquartered in Norwalk, Connecticut, FactSet is a public company listed on the NYSE (ticker: FDS).