About the RoleThis role focuses on building and modernizing data solutions that support analytics, reporting, and decision-making. As a key contributor, you will provide technical guidance and drive data modernization efforts to improve efficiency and support business growth.
Key Responsibilities- Design and deliver impactful BI and data warehouse solutions.
- Drive data modernization strategy using Azure, Databricks, and AI automation.
- Build scalable data engineering pipelines for enhanced analytics and reporting.
- Collaborate with cross-functional teams to develop and implement data warehouse applications.
- Maintain high-quality solutions through code reviews, coding standards, and ETL testing.
- Provide technical guidance to a team of Data Engineers, promoting best practices.
Minimum Requirements- Bachelor's degree in information technology or related field.
- 8 years in data engineering.
- 5 years of experience developing enterprise ETL/data integration solutions using technologies like Informatica PowerCenter, SSIS, or Databricks.
- Proven experience writing complex T-SQL and DB performance tuning.
- Strong troubleshooting skills to resolve data issues.
Work Environment- Onsite position.
- Drug-free workplace with pre-employment hair follicle drug screening required.
#R267536
