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    Job · 18248657

    HYDERABAD · FULLTIME

    Software Engineer III - Python

    Factset logo

    Factset

    Hyderabad · onsite · Posted 34d ago

    Sourced fromNaukri
    Undisclosed3–8 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Job Summary

    Role: Software Engineer III (Python) to join the Gravity team in Hyderabad. You will contribute to building, evolving data-intensive backend systems, with a strong focus on data processing, system design, and performance. This role has backend development, with significant exposure to Python, AWS components, system design, and system reliability challenges. You will also contribute to the team's ongoing challenges to improve performance and throughput for large data users, helping modernise the technical stack. This role sits within FactSet's PL1: Data Products, Storage and Access, a core component of the Data Platform that powers critical content storage and access used across FactSet contents. The Gravity Team is responsible for making attic a collection product more scalable and reliable allowing stream-aligned teams to collect and publish data at FactSet without having to manage their own databases. As part of focusing on making the product more reliable and scalable, the team is expanding its capabilities to support evolving business needs and the increasing complexity of managing data.

    Technical Environment

    Technical Environment: Python, Pandas, Parquet files, AWS, REST APIs, Git, CI/CD pipelines

    What You'll Do

    • FactSet is seeking a Python Developer to join our engineering team responsible for making our product more scalable and reliable.
    • Deliver high-quality, reusable, and maintainable code, perform Unit / Integration Testing of assigned tasks within the estimated timelines.
    • Build a robust infrastructure in AWS appropriate to the respective component of the product.
    • 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.
    • Individual contribution to the product.
    • Ensure high stability of the product.
    • Identify opportunities to align with the modernization of the product line, making use of industry-standard tools and practices.
    • Continuous Knowledge sharing internal & external of Team.

    What Were Looking For

    • Bachelor's or master's degree in computer science.
    • 3+ years of relevant experience.
    • Strong experience and proficiency with Python.
    • Experience with AWS components.
    • Knowledge of Pandas and Parquet.
    • Strong analytical and problem-solving skills.
    • 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.

    Desirable

    • AWS Services like (ECS, DynamoDB, S3, Batch, SQS)
    • Table formats like Iceberg, Delta Lake
    • Databricks


    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.

    Sourced from naukri

    Section · 02

    Skills

    AgileworkflowBackendPythonIntegration TestingComputer SciencePrivate EquityanalyticalData ProcessingSystem Design

    Section · Company

    About Factset

    Factset logo

    Factset

    Norwalk

    US

    About

    FactSet is a global provider of financial data, analytics, and technology solutions for investment professionals. Its platform integrates market data, research, and portfolio management tools to support asset managers, investment banks, and corporate clients in making informed decisions. By combining cutting-edge technology with deep financial expertise, FactSet delivers scalable insights that drive efficiency, transparency, and performance across the capital markets ecosystem.

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