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    Senior Consultant - Mumbai, India - EY

    EY
    EY Mumbai, India

    6 days ago

    EY background
    Description

    Job Summary:
    We are seeking a skilled Data Engineer with 3-5 years of experience to join our data team.

    The ideal candidate will bring expertise in AWS, PySpark, SQL, Python, and have a strong background in campaign and marketing analytics.

    As a Data Engineer in our organization, you will play a crucial role in developing and enhancing data systems that provide deep insights into customer behaviors and the effectiveness of marketing campaigns, ultimately driving strategic business decisions.

    Must have
    • Tech stack
    • AWS, EMR , PYSPARK, SQL, Airflow, CICD, Kafka.

    Key Responsibilities:
    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 fine-tune 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 (Debit Card, Wealth and Insurance etc.) to understand the requirement every week.

    Develop data sets and pipelines that enable real-time 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.


    Qualifications and Skills:


    Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.3-5 years of hands-on experience in a Data Engineering role with a focus on marketing analytics.

    Proficiency in Python and PySpark for data processing and analysis.
    Strong knowledge of SQL and experience with cloud-based data warehousing solutions, especially in an AWS environment.
    Demonstrated experience with end-to-end architecture and pipeline creation for marketing and campaign data.
    Familiarity with campaign management platforms, web analytics, SEO/SEM, and social media analytics.

    Experience with data visualization and BI tools (, Tableau, Power BI, Looker).Ability to translate business requirements into technical specifications and data solutions.

    Excellent communication and teamwork abilities.
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