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.