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Data Engineer
2 months ago
Job Summary:
SPG Resourcing is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a crucial role in supporting and transitioning the existing Business Intelligence (BI) reporting suite to Power BI, assisting in a data migration project, and utilizing Data Bricks.
Main Responsibilities:
- Design and develop data models for Power BI reports and dashboards, ensuring a focus on delivery and providing world-class customer support and engagement.
- Understand data modelling, storing, and managing data, including visualization using Power BI.
- Work with languages such as Python or SQL for data processing and manipulation, using SparkSQL/PySpark for Azure Databricks.
- Extract, transform, and load data from different sources into data lakes, specifically using Azure Databricks and Data Factory.
- Build interactive reports, dashboards, etc., using Power BI.
- Implement custom calculations, measures, and calculated columns using DAX language.
- Experience in creating and implementing Row Level Security (RLS).
- Collaborate with data engineers to ensure data quality and consistency during the ETL process.
Requirements:
- Stay informed about Power BI updates, features, and best practices by actively participating in the Power BI community.
- Share knowledge and collaborate with other developers.
- Engage and collaborate with stakeholders at various levels, including executives, managers, and end-users.
- Familiarity with Azure Data Factory and Data Bricks.
- Knowledge of SQL, data warehousing, and cloud technologies.
- Understanding of Medallion Architecture for Data Brick with proven experience as a Data Engineer or similar role.
- Proficiency in Power BI Desktop, DAX language, and ETL processes.
- Strong communication and problem-solving skills with the ability to collaborate effectively with cross-functional teams and business stakeholders.
- Knowledge of cloud platforms like Azure, AWS, or Google Cloud Platform (GCP), with Azure preferred.
- Basic understanding of machine learning concepts and using machine learning models for predictive analytics.
