Senior Data Engineer

Susquehanna International Group, LLP

  • Bala Cynwyd (Philadelphia Area), Pennsylvania
  • 30+ days ago

    Highlights

    This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that ingest, process, and transform large-scale data into business-ready datasets. Strong experience with modern data engineering technologies such as Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka.

    Numbers & Facts

    LocationBala Cynwyd (Philadelphia Area), Pennsylvania

    Description

    Overview:

    We are hiring a Data Engineer to join our Data Technologies team. This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that ingest, process, and transform large-scale data into business-ready datasets. We are looking for an experienced data engineer who is passionate about modern data architectures, distributed data processing, and scalable analytics platforms.

    In this role, you will:

    • Design, develop, and support scalable data pipelines and data products for middle- and back-office systems
    • Architect and implement modern data platform solutions
    • Build and optimize large-scale batch and streaming data processing workflows
    • Collaborate with application teams to model, transform, and deliver data solutions that meet business requirements
    • Monitor, troubleshoot, and optimize data processing environments to ensure reliability, scalability, and performance
    What we’re looking for:
    • 5+ years of experience in data engineering, data platforms, or large-scale distributed data processing
    • Strong experience with modern data engineering technologies such as Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka
    • Strong Python development skills required
    • Experience designing and optimizing high-volume data pipelines and data processing frameworks
    • Experience with query optimization and performance tuning in large-scale analytical environments
    • Experience with on-premises data platforms preferred
    • Industry experience within capital markets or financial services is required
    • Domain knowledge particularly Operations and/or Compliance, is highly preferred
    • Ability and flexibility to provide occasional off-hours/weekend support

     

    #LI-RH1

    Similar Jobs

    See more jobs