ProArch is looking for a highly skilled and experienced Azure Data Engineer to join our team. As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data solutions using the Azure data platform.
Responsibilities:
- Design, develop, and implement data engineering solutions on the Azure platform
- Create and maintain data pipelines and ETL processes
- Optimize data storage and retrieval for performance and scalability
- Collaborate with data scientists and analysts to build data models and enable data-driven insights
- Ensure data quality and integrity through data validation and cleansing
- Monitor and troubleshoot data pipelines and resolve any issues
- Stay up-to-date with the latest Azure data engineering best practices and technologies
- Excellent communication skills
- Strong in Python
- The ability to understand businesses concepts and work with customers to process data accurately.
- A solid of understanding Azure Data Lake, Spark for Synapse (or Azure Databricks), Synapse Pipelines (or Azure Data Factory), Mapping Data Flows, SQL Server, Synapse Serverless/Pools (or SQL Data Warehouse).
- Experience with source control, version control and moving data artifacts from Dev to Test to Prod.
- A proactive self-starter, who likes deliver value, solves challenges and make progress.
- Comfortable working in a team or as an individual contributor
- Good data modelling skills (e.g., relationships, entities, facts, and dimensions)
- The ability to source and ingest data in multiple formats of various variety, volume, veracity and velocity
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