Description
You will own the design and implementation of data pipelines and warehousing solutions.
Responsibilities
- Design and build data solutions using Azure Data Services, including ADF, Synapse, and Data Lake Storage (Gen2).
- Develop and optimize ETL/ELT processes handling structured, semi-structured, and unstructured data.
- Implement data architecture patterns, differentiating between batch and stream processing (Lambda/Kappa).
- Manage data governance and security by applying principles like RBAC and managed identities.
Required Skills
- 14+ years overall experience in data engineering, data warehousing, or software development.
- 5+ years hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, and Azure Data Lake Storage (Gen2).
- Strong proficiency in SQL, Python, PySpark, and T-SQL.
- Experience with data formats including JSON and Parquet.
- Expertise in cloud infrastructure as code using Terraform or ARM.
- Hands-on experience with CI/CD tools like Azure DevOps or GitHub Actions.
- Deep understanding of data architecture principles.
- Experience with modern data governance platforms such as Microsoft Purview.