
Scalable Data Architect Specialist
9 hours ago
Azure Data Engineer Role
As an Azure Data Engineer, you will be responsible for designing and implementing scalable data architectures using Microsoft Azure technologies.
Key Responsibilities:
- Develop expertise in SQL and Python, with a strong emphasis on SQL.
- Experience with Apache Spark for large-scale data processing using the Python version.
- Understanding of Delta files and Lakehouse architecture is required.
- Data warehouse knowledge or experience is beneficial.
- Hands-on skills are essential for effectively using Microsoft Fabric.
Key Requirements:
- Practical experience in setting up end-to-end analytics, managing Lakehouse and Medallion Architecture, using Apache Spark and Delta Lake tables, handling data ingestion with Dataflows Gen2, creating pipelines with Data Factory, and setting up data warehouses.
- Understand the capabilities of Microsoft Fabric for complete analytics solutions, including data ingestion, transformation, storage, and visualization.
- Familiarity with features such as Direct Lake access for Power BI reports.
- Utilize Apache Spark for large-scale data processing and work with Delta Lake tables for advanced data analytics.
- Ingest data using Dataflows Gen2 and create pipelines with Data Factory capabilities for multi-step data ingestion and transformation tasks.
- Set up and query data warehouses in Microsoft Fabric, integrating them with other analytics components.
- Learn how to secure a Microsoft Fabric data warehouse and administer the platform effectively.
Additional Benefits:
This role offers a unique opportunity to work with cutting-edge technologies and develop expertise in data engineering. As a member of our team, you will have access to ongoing training and professional development opportunities, ensuring you stay up-to-date with the latest trends and advancements in the field.
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