Business Intelligence /Data Analytics Engineer Trainee (IEFP)
Tasks
- Assist with data collection cleaning transformation and validation
- Build and optimize ETL/ELT pipelines
- Define and enforce data standards naming conventions and documentation
- Design and maintain semantic data models
- Develop and evaluate machine learning models
- Develop dashboards and reports
- Ensure compliance with security and privacy requirements
- Ensure data quality, consistency, and performance
- Monitor BI workloads in cloud and on premises environments
- Optimize SQL queries and report performance
- Perform exploratory data analysis
- Prepare datasets for statistical and predictive analysis
- Support data lineage and metadata management
Perks/Benefits
- N/A
Skills/Tech-stack
API ingestion | Airflow | Amazon Redshift | Azure Data | Azure Data Factory | Azure Synapse | C# | DAX | DBT | Data Analysis | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Data Wrangling | Dimensional Modeling | DirectQuery | DuckDB | ELT | ETL | Exploratory Data Analysis | Google BigQuery | Kimball | Machine Learning | Metadata Management | NumPy | Pandas | Polars | PostgreSQL | Power BI | Python | SQL | SQL Server | SSIS | Semantic data | Semantic data modeling | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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