Data Engineering Leader
1 day ago
Job Title: Data Engineering Leader
\Overview:
This is an opportunity to lead a data engineering team and drive the development of scalable data pipelines using Databricks and Azure Data Factory. The successful candidate will have expertise in Azure Databricks with PySpark, including at least 3 years of experience.
\Key Responsibilities:
\- Design and implement efficient data pipelines using Databricks and ADF.
- Develop and maintain Unity Catalog and ADLS Gen2 for data governance.
- Write optimized T-SQL queries and Python modules for data processing.
- Collaborate with cross-functional teams using Agile methodologies and tools like Jira/Azure DevOps.
- Deliver secure, optimized, and production-ready solutions.
Requirements:
\- Strong expertise in Azure Databricks with PySpark, including at least 3 years of experience.
- Hands-on experience in Databricks Workflow & Unity Catalog, with a minimum of 2 years of hands-on experience.
- Experience in Azure Data Factory, ADLS Gen2, and Azure SQL, each with a minimum of 2 years.
- Proficiency in Python programming and package builds, with a minimum of 2 years of experience.
- Strong knowledge of the Azure Cloud platform, with at least 3 years of experience.
Nice to Have:
\- Healthcare domain experience.
- CI/CD pipeline exposure.
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