Power BI / Data Analytics Engineer
Tasks
- Automate data processing with Python
- Build ETL/ELT pipelines
- Create optimized data models
- Design Power BI dashboards and reports
- Develop DAX calculations and KPIs
- Execute CI CD and version control
- Implement data governance and row level security
- Integrate data from multiple sources
- Maintain technical documentation
- Manage deployments across Dev UAT and Production
- Perform report performance tuning
- Troubleshoot reporting and data quality issues
- Write advanced SQL queries and stored procedures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Redshift | Agile | Apache Airflow | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | BI Desktop | CI/CD | DAX | DBT | Data Factory | Data Modeling | Databricks | Dimensional Modeling | ELT | ETL | Fivetran | Git | Google BigQuery | JavaScript | Lakehouse | Looker | Microsoft Azure | Microsoft Fabric | MySQL | Oracle | Power BI | Power BI Service | Power BI desktop | Power Query | PySpark | Python | Row Level Security | SQL | SQL Server | Scrum | Snowflake | Snowflake Schema | Spark SQL | Star Schema | Synapse Analytics | Tableau
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