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    Job · 12391725

    REMOTEFULLTIME

    Python Data Engineer

    Ascendion logo

    Ascendion

    Remote · remote · Posted 63d ago

    Sourced fromNaukri
    Undisclosed6–11 yrsfulltimeRemote

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Key Responsibilities:

    • Python Proficiency: Expert knowledge of Python, including data-centric libraries like Pandas, NumPy, and PySpark.
    • Big Data Ecosystem: Hands-on experience with handling large data systems (Data Lake etc)
    • Database Mastery: Advanced SQL skills (CTEs, window functions) and experience with NoSQL systems (Mongo etc).
    • Cloud Platforms: Experience with major cloud providers (Azure is must) and their data services (e.g., S3, Redshift, BigQuery).
    • Software Engineering Best Practices: Mastery of Git, unit testing (JUnit, Pytest), and CI/CD pipelines.
    • Problem-Solving: Proven ability to troubleshoot complex, distributed data issues and optimize query performance.
    • Communication: Ability to explain technical infrastructure and data lineage to non-technical stakeholders.


    Sourced from naukri

    Section · 02

    Skills

    PythonPandasNumpy

    Section · Company

    About Ascendion

    Ascendion logo

    Ascendion

    IT Services & Consulting

    3.3k+

    employees

    2022

    4 years old

    Basking Ridge, NJ

    India

    About

    Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have a presence in 12 countries and 40+ global offices across North America, Europe, and APAC. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to www.ascendion.com.

    Industries

    IT Services & Consulting

    Employee ratings

    799 reviews

    3.2/ 5

    Culture

    3.2

    Career growth

    2.7

    Work-life

    3.3

    Employees rate it well for

    Salary80Work Life Balance52Work Culture47Senior Management40Appraisal33

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    Python Data Engineer · waiting for your command