Senior Data Engineer

Responsibilities

• Design, develop, and maintain metadata-driven data pipelines using ADF and Databricks.
• Build and implement end-to-end metadata frameworks, ensuring scalability and reusability.
• Optimize data workflows leveraging Spark SQL and Pandas for large-scale data processing.
• Collaborate with cross-functional teams to integrate data solutions into enterprise architecture.
• Implement CI/CD pipelines for automated deployment and testing of data solutions.
• Ensure data quality, governance, and compliance with organizational standards.
• Provide technical leadership and take complete ownership of assigned projects.

• Azure Data Factory (ADF):
  Expertise in building and orchestrating data pipelines.
• Databricks:
  Hands-on experience with notebooks, clusters, and job scheduling.
• Pandas:
  Advanced data manipulation and transformation skills.
• Spark
  
  SQL:
  Strong knowledge of distributed data processing and query optimization.
• CI/CD:
  Experience with tools like Azure Dev Ops, Git, or similar for automated deployments.
• Metadata-driven architecture:
  Proven experience in designing and implementing metadata frameworks.
• Programming:
  Proficiency in Python and/or Scala for data engineering tasks

• Mid-Senior level

• Contract

• Information Technology

• IT Services and IT Consulting