Job Description
Key Responsibilities
Technical Development & Engineering
· Design, Develop, and Optimize: Lead the design and development of scalable and high-performance data pipelines and ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks.
· Data Transformation: Implement complex data transformations and business logic using PySpark within Databricks notebooks, ensuring data quality and integrity.
· Data Warehousing: Utilize Azure Synapse Analytics (SQL Pools, Serverless Pools) for data warehousing, modeling, and large-scale data querying.
· Reporting & Visualization: Develop and maintain Power BI (PBI) reports and dashboards, ensuring accurate and insightful data representation for business users. This includes defining data models and measures within PBI.
· Code Quality & Best Practices: Enforce best practices for coding, testing, deployment (CI/CD), security, and performance tuning across all data solutions.
Technical Support & Operations
· Tier 3/4 Supp...
Technical Development & Engineering
· Design, Develop, and Optimize: Lead the design and development of scalable and high-performance data pipelines and ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks.
· Data Transformation: Implement complex data transformations and business logic using PySpark within Databricks notebooks, ensuring data quality and integrity.
· Data Warehousing: Utilize Azure Synapse Analytics (SQL Pools, Serverless Pools) for data warehousing, modeling, and large-scale data querying.
· Reporting & Visualization: Develop and maintain Power BI (PBI) reports and dashboards, ensuring accurate and insightful data representation for business users. This includes defining data models and measures within PBI.
· Code Quality & Best Practices: Enforce best practices for coding, testing, deployment (CI/CD), security, and performance tuning across all data solutions.
Technical Support & Operations
· Tier 3/4 Supp...
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