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    Data Engineer - Pune, India - HNM Solutions

    HNM Solutions
    HNM Solutions Pune, India

    2 weeks ago

    Default job background
    Technology / Internet
    Description

    Note : immediate joiner

    Role : Data Engineer

    Location : Onsite (Pune)

    Language : English

    Roles and responsibilities :

    • With over 3+ yrs. of hands-on experience with Data Technologies
    • Requirement analysis and assess the technical feasibility of proposed solutions.
    • Act as the technical specialist in designing and recommending architecture for application development/feature development
    • Working on designing the application architecture and estimating effort in delivering features for new requirements
    • Implement data ingestion and transform pipeline for analytics and Dashboard reporting for business
    • Work in designing large-scale distributed computing applications using tools like Spark, Kafka, Hive, etc.
    • Performing validations, reconciliation, and consolidations for the imported data, Data migration, and data generation.
    • Effectively communicate with the Engineering Managers and Stakeholders to set the right expectations
    Technical Skills :
    • Minimum 3+ years of progressive experience building solutions in Big Data environments
    • Have a strong ability to build robust and resilient data pipelines that are scalable, fault-tolerant, and reliable in terms of data movement
    • Hands-on experience of ETL, Apache Spark with Python for batch and stream processing
    • Should know experience in batch and stream data processing
    • Exposure to working on projects across multiple domains
    • Hands-on experience in Apache Kafka
    • Strong hands-on capabilities in SQL and NoSQL technologies
    • Hands-on experience with AWS services like S3, DMS, Redshift, Glue, Lambda, Kinesis, is must have or similar services of either Azure/GCP.
    • Excellent written and verbal communication skills
    • Strong analytical/quantitative skills and comfortable working with large data sets.
    )
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