Lead Data Engineer

As a Senior Data Engineer, your role will involve developing scalable data pipelines using Microsoft Fabric. Your responsibilities will include: - Developing and managing data pipelines through Microsoft Fabric Data Factory and OneLake - Designing and creating ingestion and transformation pipelines for structured and unstructured data - Establishing frameworks for metadata tagging, version control, and batch tracking to ensure security, quality, and compliance of data pipelines - Contributing to CI/CD integration, observability, and documentation - Collaborating with data architects and analysts to align with business requirements effectively To qualify for this role, you should have: - At least 6 years of experience in data engineering - Minimum of 2 years of hands-on experience with Microsoft Fabric or Azure Data services - Proficiency in tools like Azure Data Factory, Fabric, Databricks, or Synapse - Strong SQL and data processing skills (e.g., PySpark and Python) - Previous experience with data cataloging, lineage, and governance frameworks would be beneficial.,