- Lead and manage a team of 310 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 crossfunctional teams to support datadriven decisions.
Requirements
- Minimum of 2 years of experience with PySpark Azure Data Factory and Databricks.
- Strong expertise in SQL Server with 57 years of handson experience.
- Proficiency in data modeling data warehousing and Python.
- Azure certification is preferred.
- Proven experience in team management and leadership
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