Data Engineer - Azure

• 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

 

• 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. 

 

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.