Associate Data Engineer
Tasks
- Apply version control code quality testing and deployment best practices
- Build ETL/ELT workflows
- Cleanse validate and check data quality
- Collaborate in agile environment
- Deliver reliable datasets
- Develop data pipelines
- Document data pipelines and workflows
- Ingest and transform semi structured data
- Ingest and transform structured data
- Monitor scheduled jobs and workflows
- Optimize Spark jobs and Databricks notebooks
- Prepare data for feature engineering and model inputs
- Support analytics reporting and machine learning data use cases
- Test and maintain data pipelines
- Troubleshoot pipeline failures data issues and bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Agile | Azure | Batch Processing | CI/CD | CSV | Data Cleansing | Data Governance | Data Pipelines | Data Quality | Data Security | Data Validation | Databricks | Delta Lake | ELT | ETL | Feature Engineering | Git | Google Cloud | JSON | Lakehouse | MLflow | Parquet | Power BI | PySpark | Python | SQL | Scikit-learn | Spark | Tableau | Unity Catalog
Education
Roles
Data Engineer | Data Pipeline Engineer | Engineer | Pipeline Engineer
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