Data Engineer (Data Pipelines & Modeling)

Karwell Technologies

  • Warrendale, PA
  • 30+ days ago

    Highlights

    Responsibilities: Design and implement robust data ingestion pipelines from multiple sources (APIs, databases, files, streaming systems). Support C4C offline database migration, ensuring data accuracy and consistency.

    Numbers & Facts

    LocationWarrendale, PA

    Description

    Responsibilities:
    • Design and implement robust data ingestion pipelines from multiple sources (APIs, databases, files, streaming systems).
    • Support C4C offline database migration, ensuring data accuracy and consistency.
    • Integrate data from enterprise systems into centralized data platforms.
    • Design and implement data models for Workforce planning.
    • Service operations forecasting.
    • Develop optimized schemas for reporting and analytics.
    • Ensure data quality, integrity, and consistency across models.
    Requirements:
    • Strong experience in data engineering and pipeline development.
    • Proficiency in Python / SQL.
    • Hands-on experience with Apache Spark or similar big data tools.
    • Strong understanding of ETL/ELT concepts and data warehousing.
    • Ability to work independently and in cross-functional teams.
    • Bachelor's / Master's in Computer Science, IT, or related field.
    Good to Have:
    • Exposure to CI/CD tools like Jenkins or GitHub Actions.
    • Knowledge of cloud platforms (AWS / Azure / GCP).
    • Experience in healthcare or regulated environments.

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