Assignment description

For this role we are looking for a Senior Data Engineer who has 12+ years of work exeperience.

Requirements for the role:

• Data modeling: design and implement efficient data models that support analytical requirements in Azure and Power BI
• SQL and T-SQL: writing complex queries and using Transact-SQL (T-SQL) to retrieve, transform, and aggregate data from various sources
• ETL (Extract, Transform, Load): knowledge of ETL processes and tools, such as Azure Data Factory, to extract data from different sources, transform it to fit the desired data model, and load it into Azure data storage or Power BI
• Azure services: Azure services related to data and analytics, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics (formerly SQL Data Warehouse)
• Performance optimization: techniques to optimize data models, queries, and report performance to ensure efficient and responsive analytics
• Problem-solving and troubleshooting: having strong problem-solving skills to identify and resolve issues related to data, queries, performance, or visualizations in Azure and Power BI

Must have:

• Security and governance: Understanding data security principles, implementing role-based access controls, and adhering to data governance policies when working with sensitive information

Good to have :

• Power BI knowledge
• DAX (Data Analysis Expressions)
• Jira working knowledge
• Specific tasks or milestones resource will work on
• Backend support to enhance PBI reports to provide business continuity
• Qlikview Platform Shutdown
• Migration to GCP