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    Data Engineer II - Bangalore, India - Sourcingxpress

    Sourcingxpress
    Sourcingxpress Bangalore, India

    2 days ago

    Default job background
    Technology / Internet
    Description

    About the Company :
    Our client is a dynamic and rapidly growing company, recognized as one of India's leading kids fashion brands.

    We are currently seeking a passionate Data Engineer to join their team.

    Operating in a fast-paced startup environment, they collaborate across various teams including data analytics, marketing, data science, and individual product teams.

    If you're enthusiastic about data engineering, thrive in building scalable systems, and possess a strong background in ETL processes, we invite you to be part of their innovative and collaborative team.


    Responsibilities :

    • Thrive in a fastpaced startup environment, contributing to a culture of innovation and agility.
    • Manage all aspects of data extraction, transfer, and load activities.
    • Develop robust data pipelines to ensure data availability across platforms.
    • Execute ETL processes, including data ingestion, cleaning, and curation into data warehouses, databases, or data platforms.
    • Collaborate on various aspects of the AI/ML ecosystem, including data modeling and ML pipelines.
    • Work closely with DevOps and senior architects to design scalable system and model architectures for realtime and batch services.

    Requirements :

    • 36 years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.
    • Proficiency in data warehousing, data modeling, and/or data analysis concepts.
    • Strong experience in building and using pipelines, performing ETL with industrystandard best practices on Redshift (minimum 2+ years).
    • Ability to troubleshoot and resolve performance issues related to data ingestion, processing, and query execution on Redshift.
    • Familiarity with orchestration tools such as Airflow.
    • Excellent coding skills in Python and SQL.
    • Handson experience with distributed systems like Spark.
    • Experience with AWS Data and ML Technologies (AWS Glue, MWAA, Data Pipeline, EMR, Athena, Redshift, Lambda, etc.).
    • Solid understanding and practical application of various data extraction techniques like CDC or Time/batch based, and related tools (Debezium, AWS DMS, Kafka Connect, etc.) for near realtime and batch data extraction.
    )
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