Sr Soft Engineer - Python Data Engineering- M&A

Job Summary

At FactSet, our Mergers & Acquisitions Data Solutions Engineering team is at the forefront of delivering high-quality, actionable M&A data to the worlds leading financial professionals. We are responsible for building and maintaining the robust data pipelines, tools, and systems that power FactSet's M&A content covering deals, transactions, valuations, and market intelligence across global markets. If you are passionate about financial data, engineering innovation, and making an impact in the fintech space, this is the team for you. This team is responsible to build data pipeline and tools by leveraging Python, proprietary in-house libraries, and AWS technologies. Through automation and innovative solutions, we consistently improve productivity and operational efficiency across teams. In this role, you will play a pivotal part in implementing impactful solutions that deliver significant value to the organization.

Location: Hyderabad

Work Arrangement: Hybrid Setup

What Youll Do

• Deliver high-quality, reusable and maintainable code, perform Unit / Integration Testing of assigned tasks within the estimated timelines.
• Proactive in providing technical solutions with effective communication & collaboration skills.
• Perform Code Reviews and ensure best practices are followed.
• Work in an agile team environment and collaborate with internal teams to ensure smooth product delivery.
• Ownership of end-end product & Individual contribution.
• Performance Improvements with the help of metrics provided by automatic monitoring of the product.
• Ensure high stability of the product.
• Continuous Knowledge sharing internal & external of the team.
• Collaborate with other engineers and Product Developers in a Scrum Agile environment using Jira and Confluence
• Estimate task sizes and regularly communicate progress in daily standups and biweekly Scrum meetings

What Were Looking For

• Bachelors or masters degree in computer science.
• 5-7 years of overall industry experience.
• 3-4 years of experience in Python.
• Strong experience and proficiency with Python, Pandas, and NumPy.
• Experience with AWS environment, e.g., Amazon Kinesis, AWS Glue, Redshift, EC2, S3, Fargate, Lambda, EMR, etc.
• Strong analytical and problem-solving skills.
• Relational database experience, preferably with POSTGRES, MSSQL.
• Experience with Github-based development processes.
• Excellent written and verbal communication skills.
• Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment.
• Experience building and deploying production-level services.
• Hands on with GenAI concepts and

Desired Skills

• Work experience of Jupyter Notebooks.
• Infrastructure as code using Terraform.
• Familiar with Agile software development (Scrum is a plus).
• Experience working in a Linux/Unix environment.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.