Power BI/Data Engineer
4 weeks ago
We are seeking a talented Power BI/Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, database management, and data visualization using Microsoft Power BI. The Power BI/Data Engineer will be responsible for designing, developing, and maintaining data pipelines, data models, and interactive dashboards to support data-driven decision-making within the organization.
Responsibilities:
- Data Integration: Design and develop ETL (Extract, Transform, Load) processes to integrate data from various sources into a centralized data warehouse or data lake.
- Data Modeling: Design and implement data models to support reporting and analytics requirements, ensuring data accuracy, consistency, and performance.
- Dashboard Development: Develop interactive dashboards and reports using Power BI to visualize key performance indicators (KPIs), trends, and insights.
- Data Governance: Establish and enforce data governance policies and best practices to ensure data quality, security, and compliance with regulatory requirements.
- Performance Optimization: Optimize data pipelines, data models, and Power BI reports for improved performance, scalability, and usability.
- Collaboration: Collaborate with cross-functional teams to understand their data needs and requirements, and provide technical expertise and support.
- Documentation: Document data pipelines, data models, and Power BI reports to ensure transparency, repeatability, and knowledge transfer.
Required Experience:
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Proven experience in data engineering, database management, and data visualization using Power BI.
- Strong understanding of data warehousing concepts, ETL processes, and database technologies (e.g., SQL, Azure SQL Database, Azure Synapse Analytics).
- Proficiency in data modeling, including dimensional modeling and relational modeling.
- Experience with data integration tools and platforms (e.g., Azure Data Factory, SSIS).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and collaborate effectively in a team environment.
- Experience with other data visualization tools (e.g., Tableau, QlikView) is a plus.
Preferred Qualifications:
- Microsoft Power BI certification.
- Experience with cloud computing platforms (e.g., Microsoft Azure, AWS, Google Cloud Platform).
- Knowledge of programming languages for data manipulation and analysis (e.g., Python, R).
- Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark).
- Understanding of data security and privacy best practices.
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