Data Engineer - Azure
You’ll be focused in
- Designing and implementing Data Pipelines, Data Storage and Data Processing solutions
- Managing Data Integration and Storage solutions
- Modelling data, handling ETL processes and Data Warehousing
- Developing and maintaining data architecture, ensuring scalability, security & availability
- Managing cloud-based data services, particularly Azure
- Implementing Data Governance
In order to succeed, you’ll need
- Proficiency in data modeling, ETL processes, and data warehousing
- Strong experience with data technologies (e.g., Spark, Azure Databricks, SQL & NoSQL databases)
- Deep understanding of data architecture, security principles and best practices
- Strong proficiency in scripting languages (e.g., Python) for data manipulation and analysis
- Extensive experience with cloud-based data services, particularly in Azure
- Expertise in data governance frameworks and implementation
- Great English skills, both written and spoken.
About the Product At PowerCo we want to develop robust and sustainable data solutions on a data platform using Azure Databricks & Power BI integrated with various Azure services to manipulate and analyze data.
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