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Data Engineer
2 months ago
Job Title: Data Engineer - Business Intelligence Specialist
Job Summary:
SPG Resourcing is seeking an experienced Data Engineer to join our team as a Business Intelligence Specialist. The successful candidate will play a crucial role in supporting and transitioning our existing BI reporting suite to Power BI, assisting in a data migration project, and utilizing Data Bricks.
Main Responsibilities:
- Data Modelling and Visualization: Understand data modelling, storing, and managing data, including visualization using Power BI.
- Data Processing and Manipulation: Work with languages such as Python or SQL for data processing and manipulation, using SparkSQL/PySpark for Azure Databricks.
- Data Extraction, Transformation, and Loading: Extract, transform, and load data from different sources into data lakes, specifically using Azure Databricks and Data Factory.
- Report and Dashboard Development: Build interactive reports, dashboards, etc., using Power BI.
- Data Model Design: Design and develop data models for Power BI reports and dashboards.
- Table and Column Design: Define tables, columns, and relationships based on business requirements.
- Custom Calculations and Measures: Implement custom calculations, measures, and calculated columns using DAX language.
- Row Level Security: Experience in creating and implementing Row Level Security (RLS).
- Collaboration and Communication: Collaborate with data engineers to ensure data quality and consistency during the ETL process.
Requirements:
- Power BI Expertise: Stay informed about Power BI updates, features, and best practices by actively participating in the Power BI community.
- Knowledge Sharing: Share knowledge and collaborate with other developers.
- Stakeholder Engagement: Engage and collaborate with stakeholders at various levels, including executives, managers, and end-users.
- Azure Data Factory and Data Bricks: Familiarity with Azure Data Factory and Data Bricks.
- Cloud Technologies: Knowledge of SQL, data warehousing, and cloud technologies.
- Medallion Architecture: Understanding of Medallion Architecture for Data Brick with proven experience as a Data Engineer or similar role.
- Communication and Problem-Solving: Strong communication and problem-solving skills with the ability to collaborate effectively with cross-functional teams and business stakeholders.
- Cloud Platforms: Knowledge of cloud platforms like Azure, AWS, or Google Cloud Platform (GCP), with Azure preferred.
- Machine Learning: Basic understanding of machine learning concepts and using machine learning models for predictive analytics.