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4 days ago
Highly skilled data engineers design and develop scalable data infrastructure, pipelines, and architecture. They work closely with data scientists, analysts, and other stakeholders to ensure accurate, timely, and accessible data.
Key Responsibilities:- Design, implement, and maintain efficient data pipelines using Azure Data Factory and Databricks.
- Develop and optimize ETL processes for seamless data flow and transformation.
- Work on Azure Data Lake solutions, ensuring optimal storage and retrieval of large datasets.
- Collaborate with Azure Synapse Analytics to build and manage scalable data warehousing solutions.
- Integrate various data sources into MS-Fabric, ensuring consistency, quality, and accessibility across different platforms.
Requirements:
- Proficiency in Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake.
- Experience with Microsoft Fabric is a plus.
- Strong SQL skills and experience with data warehousing concepts (DWH).
- Knowledge of data modeling, ETL processes, and data integration.
- Hands-on experience with ETL tools and frameworks.
- Experience with relational databases and big data technologies.
- Familiarity with cloud platforms and associated data services.
- Excellent communication and problem-solving skills.
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