Business Intelligence /Data Analytics Engineer Trainee (IEFP)
Tasks
- Build and optimize ETL/ELT pipelines
- Build dashboards and reports
- Collect clean transform validate data
- Design and maintain semantic data models
- Develop machine learning models
- Enforce data standards naming conventions and documentation
- Ensure data quality, consistency, and performance
- Ensure security and privacy compliance
- Monitor BI workloads in cloud and on prem
- Optimize SQL queries and report performance
- Perform exploratory data analysis
- Prepare datasets for statistical analysis and predictive modeling
- Translate business requirements into BI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Redshift | Apache Airflow | Azure Data | Azure Data Factory | Azure Synapse | C# | DAX | DBT | Data Analysis | Data Factory | Data Modeling | Dimensional Modeling | DirectQuery | DuckDB | ELT | ETL | Exploratory Data Analysis | Google BigQuery | Kimball | Machine Learning | NumPy | Pandas | Polars | PostgreSQL | Power BI | Python | SQL | SQL Server | SSIS | Snowflake | Snowflake Schema | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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