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    Data Engineer - Bangalore/Any Location, India - INSIGHT GLOBAL SOLUTIONS

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    permanent Technology / Internet
    Description
    Data Engineer


    Must Haves :

    • Bachelors Degree in science, technology, or another related field.
    • 3+ years of data engineering experience.
    • 3+ years of experience with Cloud platforms like GCP, Azure, Airflow.
    • 4+ years of data warehouse, relational database, and SQL experience.
    • 4+ years of supporting ETL process and job scheduling experience.
    • 3+ years of Business Intelligence solution, reports, and dashboards experience.
    • Strong programming experience in Python.
    • Development experience with Airflow.
    • Experience in developing data solutions in Microsoft Azure Cloud services including Blob Storage, Data Factory, AKS, Azure Cloud Database, Data Bricks.
    • Knowledge of Google Cloud Platform, Cloud Composer, Docker, Windows, SQL and Google Big Query.
    • Development experience with cloud database technologies (RedShift, Big Query, Snowflake, etc.).
    Experience with developing real time data processing.


    Plusses :

    • Possesses a Master's Degree.
    • Azure Certifications and/or Data Factory experience.
    • Power BI or business Intelligence solution, reports, and dashboards experience.
    • Multicloud environment exposure.
    • Astronomer experience.

    Day to Day :

    • Insight Global is seeking a 100% remote Sr. Data Engineer for our jewelry insurance client.
    • This candidate will be responsible for creating and maintaining data pipelines, data integrations, and data products; technical pipeline development and improvement efforts.

    Essential duties and responsibilities include :

    • Design, build and maintain scalable data pipelines and data products.
    • Collaborate with other Data, BI and Test engineers to review design, code and test plan.
    • Work with team to ensure defined standards are being followed.
    • Utilize CI/CD framework from data pipelines.
    • Work across different teams to resolve operational and performance issues.
    • Creates technical documentation and data flow diagrams.
    )

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