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3 days ago
As a seasoned data professional, you will be responsible for designing and implementing scalable data pipelines and workflows using Azure Databricks.
Key Responsibilities:- Develop ETL pipelines using Python, SQL, and Delta Live Tables.
- Manage job execution through Databricks Jobs, including scheduling and parameterization.
- Implement data transformation using built-in Databricks features.
- Collaborate with data architects and analysts to ensure data models align with business needs.
- Implement security and governance using features like encryption, access control, and data lineage tracking.
- Manage data performance using built-in Databricks features (i.e., concurrency for better query execution).
- Languages: Python, SQL
- Databricks Features: Delta Lake, Delta Live Tables, MLflow, Databricks Jobs, Secrets Management
- Azure Integration: Azure Key Vault, Azure Functions, Azure Data Lake, Azure DevOps
- Deployment Pipelines: Experience with CI/CD for Databricks and integration with Snowflake schemas (DEV, PRE-PROD, PROD)
- Monitoring & Optimisation: Cost analysis of clusters, performance tuning, and job concurrency management
This role offers the opportunity to work on complex data projects, collaborate with a team of data professionals, and develop skills in data engineering and architecture.
Others:Desirable experience includes working knowledge of Control-M for orchestrating Databricks jobs, familiarity with Power BI integration and semantic modeling, and exposure to geospatial or time-series data processing using Databricks.
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