Data Engineer - PowerBI
Tasks
- Build ETL/ELT pipelines
- Develop Power BI dashboards and reports
- Develop Power BI semantic models
- Gather reporting requirements
- Identify resolve defects and performance bottlenecks
- Integrate structured data and unstructured data
- Manage Power BI Service scheduled refresh
- Optimize ETL processes and dashboards
- Optimize dashboard performance
- Optimize data lake data warehouse lakehouse structures
- Participate in analysis sessions
- Perform pipeline and report testing
- Recommend improvements for scalability maintainability and performance
- Run integration testing
- Transform data with Power Query M
- Translate requirements into technical deliverables
- Validate cleanse transform reconcile data
- Work in agile sprints
- Write and optimize DAX measures
- Write unit tests for transformations
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Apache Spark | Azure | CI/CD | Cloud platform | DAX | Data Lake | Data Modeling | Data Quality | Data Warehouse | Databricks | ELT | ETL | Flask | Git | Google Cloud | Google Cloud Platform | Integration Testing | Lakehouse | Linux | Logging | M-language | Pandas | Power BI | Power Query | PySpark | Pytest | Python | Query Optimization | Regular Expressions | Requests | SQL | Shell Scripting | Snowflake Schema | Star Schema | Subprocess | Unit Testing
Education
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