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Data Engineer (Data Pipelines & Modeling)

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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