As a Senior Data Engineer, you will be at the forefront of a company-wide digital transformation. You will design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Data Bricks, and other Azure services.
Requirements
- Bachelor’s degree in computer engineering, Computer Science, or a related discipline
- 7+ years of experience in ETL design, development, and performance tuning using the Microsoft Stack in a multi-dimensional data warehousing environment.
- 7+ years of advanced SQL programming expertise (PL/SQL, T-SQL)
- 5+ years of experience in Enterprise Data & Analytics solution architecture
- 3+ years of experience in Python Programming
- 3+ years of hands-on experience with Azure, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions.
- 3+ years of experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions
- 2+ years of experience designing data models aligning with business requirements and analytics needs.
- 2+ years of experience defining and implementing data security standards, including encryption, auditing, and monitoring.
- Strong analytical skills and a passion for intellectual curiosity
Benefits
- Bonus/incentives based on performance
- 401K
- Paid time off
- Stock purchase program
- Health and wellness coverage
- Employee and family wellbeing support programs
- Work life balance flexibility