Schneider Electric | Jobs | Data Engineer | BigDataKB.com | 03-02-22

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    Job Location: Bangalore

    The job purpose is to support the big data engineering team building and improving IntelDS by:

    • Connecting new sources to enrich the data scope of the platform

    • Design and develop new features based on consumer application requests to ingest data in the different layers of IntelDS

    • Automate the integration and delivery of data objects and data pipelines

    The duties and responsibilities of this job are to prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications. It requires to work with current technologies used by IntelDS and in particular Spark, Presto , Hive and RedShift on AWS environment. This includes:

    • Design and develop new data ingestion patterns into IntelDS raw and/or unified data layers based on the requirements and needs for connecting new data sources or for building new data objects. Working in ingestion patterns allow to automate the data pipelines.

    • Participate to and apply DevSecOps practices by automating the integration and delivery of data pipelines in a cloud environment. This can include the design and implementation of end-to-end data integration tests and/or CI/CD pipelines.

    • Analyse existing data models, identify and implement performance optimizations for data ingestion and data consumption. The objective is to accelerate data availability within the platform and to consumer applications. Target technologies are Apache Spark, Apache Presto and RedShift.

    • Support client applications in connecting and consuming data from the platform, and ensure they follow our guidelines and best practices.

    • Participate in the monitoring of the platform and debugging of detected issues and bugs.

    Qualifications

    Do you have the experience and skills?

    • At least 5 years experience in software development with minimum of 3 years as data engineer/architect with proven experience on Big Data and Data Lakes on AWS.

    Advanced user for these key technologies:

    • Programming language: Python
    • Big Data: Spark, Hive, Presto
    • AWS: S3, EMR, RedShift, Automation (Cloud Formation)

    Primary Location

    : IN-Karnataka-Bangalore

    Schedule

    : Full-time

    Unposting Date

    : Ongoing

    Apply Here

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