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    AWS DATA Engineer - Pune, India - iLink Digital

    iLink Digital
    Default job background
    Technology / Internet
    Description
    • AWS Data Engineer with min of 5 to 7 years of experience.
    • Collaborate with business analysts to understand and gather requirements for existing or new ETL pipelines.
    • Connect with stakeholders daily to discuss project progress and updates.
    • Work within an Agile process to deliver projects in a timely and efficient manner.
    • Design and develop Airflow DAGs to schedule and manage ETL workflows.
    • Transform SQL queries into Spark SQL code for ETL pipelines.
    • Develop custom Python functions to handle data quality and validation.
    • Write PySpark scripts to process data and perform transformations.
    • Perform data validation and ensure data accuracy and completeness by creating automated tests and implementing data validation processes.
    • Run Spark jobs on AWS EMR cluster using Airflow DAGs.
    • Monitor and troubleshoot ETL pipelines to ensure smooth operation.
    • Implement best practices for data engineering, including data modeling, data warehousing, and data pipeline architecture.
    • Collaborate with other members of the data engineering team to improve processes and implement new technologies.
    • Stay up to date with emerging trends and technologies in data engineering and suggest ways to improve the team's efficiency and effectiveness.

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