Azure Data Engineer
2 weeks ago
The Data Engineer will be a key member of our Data & Analytics commercial data engineering team, responsible for designing, building, optimizing, and maintaining experiments, prototypes, and products across the organization's Microsoft Azure's Data Platform.
Key Responsibilities:
- Design and build data extraction, transformation, and loading processes by developing custom data pipelines.
- Use modern and innovative technology to help business partners realize actionable insights and value from the enterprise data platforms.
- Collaborate with the internal Data Engineering team to define requirements, use cases, and outcomes.
- Build, configure, secure, migrate, optimize, and refactor Azure data platform solutions, including Ingestion, ETL/ELT, Storage, Data Lakes, Delta Lakes, Data Warehouses, Lakehouse, and Data Modelling.
Requirements:
- 2-3 years of Data Engineering, Visualization, and Analytics experience within Azure environments, Power BI, or similar platforms, and AI/ML projects and implementations.
- University or higher degree in Engineering, Mathematics, Information Systems, Computer Science, or Technology.
- Candidate has successfully completed Azure Fundamentals and Azure Data Engineer Certifications.
- Experience and knowledge in Microsoft Azure Environment + Toolsets, including ADLA, ADF, Synapse, Data Bricks, AAS, Cosmos DB, FunctionApps, Logic Apps, SQL scripting, core data warehousing platforms, and programming skills in Python, Scala, etc.
- Microsoft Power BI delivery and support, Microsoft Power Suite delivery and support, and Azure AI/ML skills and delivery.
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