Snaphunt | Jobs | Big Data Developer | BigDataKB.com | 09-02-22

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    Job Location: Madurai

    • Opportunities For Career Progression

    We are hiring for a company which develop innovative and creative products and services that provide total communication and information solutions.

    The Job

    Key responsibilities areas:

    • Develop and implement data pipelines that extracts, transforms and loads data into an information product that helps to inform the organization in reaching strategic goals
    • Work on ingesting, storing, processing and analyzing large data sets
    • Create scalable and high-performance web services for tracking data
    • Translate complex technical and functional requirements into detailed designs 
    • Investigate and analyze alternative solutions to data storing, processing etc. to ensure most streamlined approaches are implemented
    • Serve as a mentor to junior staff by conducting technical training sessions and reviewing project outputs
    • Develop and maintain data pipelines implementing ETL processes
    • Take responsibility for Hadoop development and implementation
    • Work closely with a data science team implementing data analytic pipelines
    • Help define data governance policies and support data versioning processes
    • Maintain security and data privacy working closely with Data Protection Officer internally
    • Analyze a vast number of data stores and uncover insights

    Ideal Candidate

    Key Competencies:

    • Experience in Python, Spark and Hive
    • Understanding of data warehousing and data modeling techniques
    • Knowledge of industry-wide analytical and visualization tools (Tableau and R)
    • Strong data engineering skills on the Azure Cloud Platform is essential
    • Streaming frameworks like Kafka
    • Knowledge of core Java, Linux, SQL, and any scripting language 
    • Good interpersonal skills and positive attitude
    • Degree in computer sciences, engineering
    • Expertise in ETL methodology of Data Extraction, Transformation and Load processing in corporate wide ETL solution design using Data Stage.

    Ref: D4ZIHFEYN8

    Apply Here

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