Data Engineer

The AES Group

  • San Francisco, CA
  • 4 days ago

    Highlights

    The AES Group INC looking for a skilled Data Engineer to join our team for a high-impact, long-term project spanning over a year. Big Data Infrastructure: Deep, hands-on experience with tools like Apache Spark , Hadoop , Hive , or Kafka .

    Numbers & Facts

    LocationSan Francisco, CA

    Description

    Role: Data Engineer
    Location: Bay Area, CA

    Why Join Us?

    • Work with a leading technology organization in the digital and data-driven industry.
    • Gain hands-on experience building and optimizing modern data solutions.
    • Collaborate with experienced engineers, analysts, and cross-functional teams.
    • Work on high-impact data engineering initiatives in a fast-paced environment.
    • Opportunity to strengthen your skills across data pipelines, cloud technologies, and analytics.

    About the Role

    The AES Group INC looking for a skilled Data Engineer to join our team for a high-impact, long-term project spanning over a year. In this role, you will build, optimize, and maintain robust data pipelines that process massive volumes of web and advertising traffic. If you love handling large-scale data systems and building infrastructure that scales, we want to talk to you!

    Key Responsibilities

    • Data Pipelines: Design, scale, and maintain reliable ETL/ELT data pipelines.
    • Stream & Batch Processing: Process large-scale real-time and batch streaming datasets.
    • Storage Architecture: Optimize data warehouse storage, partitioning, and query performance.
    • Collaboration: Partner with Data Scientists and Product teams to deliver clean, structured data environments.

    What We Are Looking For

    • Core Tech: Strong programming skills in Python or Java/Scala, alongside advanced SQL expertise.
    • Big Data Infrastructure: Deep, hands-on experience with tools like Apache Spark, Hadoop, Hive, or Kafka.
    • Cloud Architecture: Proficiency with public cloud platforms (such as AWS or GCP).
    • Data Modeling: Solid understanding of data warehousing concepts, schema designs, and data lakes.

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