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    Data Engineering Team Lead AWS - Malaysia, Kuala Lumpur - Randstad Malaysia

    Randstad Malaysia
    Randstad Malaysia Malaysia, Kuala Lumpur

    1 week ago

    Randstad Malaysia background
    Full time
    Description
    About The Company

    Pioneering marketing-tech in ASEAN, this firm's mission is to simplify and leverage data to connect with millions of ASEAN consumers. Specializing in Consumers, Media & E-Commerce, it leads innovation in the industry. Join the journey to redefine marketing-tech and unlock the full potential of data-driven insights

    About The Role

    This position will involve seeking a strategic and experienced data engineering expert to join the expanding data team. As the Data Engineering Team Lead, you will have a crucial role in advancing efficient, scalable, and dependable data solutions. Your leadership will be instrumental in enhancing the data maturity and engineering environment.

    About The Job

    • Lead data infrastructure development, covering ingestion, ETLs, storage, and consumption processes.
    • Oversee end-to-end data solution development, from modeling and ETL to deployment and monitoring.
    • Design and enhance ETL modules and data models to support operations and product usage.
    • Collaborate with architects to align data models with business needs.
    • Deliver data insights for product offerings and strategy.
    • Ensure data quality, security, and compliance.
    • Develop data products for actionable insights.
    • Implement process improvements and mentor junior team members.

    Knowledge, Skills And Experience

    • 3-5 years of experience in data engineering with Python, Spark, Scala, and SQL.
    • Proficiency in data ETL/ELT tools such as Airflow, AWS Glue, Azure Data Factory, etc.
    • Strong experience in databases, data warehouses, and data modeling.
    • Previous leadership experience in data engineering.
    • Strong foundation in cloud data services and DataOps/DevOps principles.
    • Familiarity with scripting languages, microservices, and cloud computing platforms.
    • Expertise in BI tools and code/data versioning tools.
    • Excellent communication, collaboration, and problem-solving skills.
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