Job Description

Job Description Lead and manage a team of 3-10 data engineers, providing guidance and solutions. Design, develop, and maintain robust data pipelines and architectures. Oversee data modeling, data warehousing, and data integration efforts. Implement and optimize data solutions using PySpark, Azure Data Factory, and Databricks. Ensure data quality, integrity, and security across all data systems. Collaborate with cross-functional teams to support data-driven decisions. Requirements Minimum of 2 years of experience with PySpark, Azure Data Factory, and Databricks. Strong expertise in SQL Server with 5-7 years of hands-on experience. Proficiency in data modeling, data warehousing, and Python. Azure certification is preferred. Proven experience in team management and leadership