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    EY - Data Engineer - AWS Services - Bangalore/Anywhere in India/Multiple Locations/Mumbai, Maharashtra - Ernst & Young

    Ernst & Young
    Ernst & Young Bangalore/Anywhere in India/Multiple Locations/Mumbai, Maharashtra

    5 days ago

    Ernst & Young background
    permanent Technology / Internet
    Description
    Language - Pyspark, Python, Sql

    AWS services (in order)- glue, emr, redshift, lambda


    • Database: Redshift
    Exposure to airflow

    • Design, construct, and maintain data architectures and pipelines that support campaign and marketing analytics.
    • Utilize AWS cloud services (Redshift, EMR, RDS, Glue, Athena, S3) to build scalable and reliable data storage and processing solutions.
    • Create and finetune PySpark jobs for big data transformations and aggregations necessary for marketing analysis.
    • Write complex SQL queries to analyze campaign performance, customer segmentation, and ROI.
    • Create pipelines for campaigns that needs to be triggered on daily basis in real time for eligible customers.
    • Would add new logics as per the campaign's requirement and new customer bases to this pipeline.
    • Collaborate with Campaign managers and various bank businesses i.e. (Debit Card, Wealth and Insurance etc.) to understand the requirement every week.
    • Develop data sets and pipelines that enable realtime analysis of marketing campaigns.
    • Collaborate with marketing teams to understand their data needs and provide insights through advanced analytical models.
    • Integrate various data sources to deliver a comprehensive view of customer interactions across channels.
    • Implement tracking and measurement solutions for online and offline campaigns.
    • Contribute to the improvement of data quality and the enrichment of data sources for accuracy in reporting and analysis.
    • Work on predictive modelling of customer behaviour and campaign outcomes using Python.
    • Develop dashboards and visualizations in reporting tools to communicate actionable insights to the marketing team.
    • Drive data governance and compliance initiatives related to marketing data.
    • Stay updated with the latest trends in marketing analytics, campaign management tools, and data processing technologies.
    )
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