Data Engineer
Tasks
- Analyze profile organize structured semi structured data
- Build optimize data warehouse data lake data platform
- Contribute to documentation, standards, and best practices
- Design develop test maintain ETL ELT pipelines
- Develop reusable data engineering frameworks utilities and analytical tools
- Enable data acquisition ingestion strategies
- Integrate harmonize data from multiple sources
- Monitor and maintain data platform access support incidents resolution
- Prepare curate optimize data sets for AI ML and GenAI pilot
- Prepare data for analytics and machine learning
- Support scalable reusable data assets for feature development and model training
- Translate business requirements into data engineering solutions
- Troubleshoot resolve data quality performance reliability issues
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Cognos | Data Factory | Data Ingestion | Data Lake | Data Modeling | Data Quality | Data Transformation | Data Warehouse | Data integration | ELT | ETL | Microsoft Fabric | Performance Tuning | Power BI | Python | SQL | Snowflake | Tableau
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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