Data Engineers

Intone Networks

  • Malvern, PA
  • 8 days ago

    Highlights

    Utilize PySpark and SQL for data querying, filtering, and manipulation against various data stores, including modernized data sources and legacy DB2 tables. This is a 6+ month engagement focused on designing, developing, and maintaining high-volume data transformation logic and batch processes.

    Numbers & Facts

    LocationMalvern, PA

    Description

    We are seeking Data Engineers for a contract position based in Malvern, Pennsylvania. This is a 6+ month engagement focused on designing, developing, and maintaining high-volume data transformation logic and batch processes.

    Responsibilities

    • Design, develop, and maintain high-volume data transformation logic primarily using AWS Glue jobs written in Python
    • Develop custom code and potentially AWS Lambda functions for handling complex logic within batch processes
    • Utilize PySpark and SQL for data querying, filtering, and manipulation against various data stores, including modernized data sources and legacy DB2 tables
    • Collaborate with internal mainframe experts to understand legacy system logic and implement requirements for modernized batch processes
    • Handle data ingestion from multiple sources, including various vendors, flat files, CSVs, and APIs
    • Engage with the build and deployment pipeline, demonstrating a strong understanding of DevOps concepts and proficiency with Git and GitHub
    • Work closely with a dedicated Tech Lead while operating with a high degree of independence

    Qualifications

    • Proficiency in Python for data transformation and ETL development
    • Experience with AWS Glue and related AWS data services
    • Strong knowledge of PySpark and SQL for data manipulation and querying
    • Experience with Git and GitHub for version control
    • Understanding of DevOps concepts and CI/CD practices
    • Familiarity with data ingestion from multiple source types and formats
    • Ability to work independently and collaboratively within a team structure

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