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Azure Databricks Engineer - Python/PySpark
Job Description & How to Apply Below
About
The Role
Minimum 4 years of experience in a relevant field.
Hands-on experience in Databricks, SQL, Azure Data Factory, and Azure Dev Ops .
Strong expertise in Microsoft Azure cloud platform services (Azure Data Factory, Azure Data Bricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics).
Proficient in CI/CD pipelines in Azure Dev Ops for automatic deployments.
Good in performance optimization techniques like using temp tables, CTE, indexing, merge statements, and joins.
Familiarity in Advanced SQL and programming skills (e.g., Python, PySpark).
Familiarity with data warehousing and data modelling concepts .
Good in data management and deployment processes using Azure Data Factory, Databricks, and Azure Dev Ops.
Knowledge on integrating every Azure service with Dev Ops .
Experience in designing and implementing scalable data architectures .
Proficient in ETL processes and tools .
Strong communication and collaboration skills .
Certifications in relevant Azure technologies are a plus.
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