Senior Data Engineer
Tasks
- Build workflows with Airflow dbt and Spark
- Design scalable data pipelines
- Ensure data quality, integrity, and security
- Implement ETL ELT and data integration
- Integrate data for model training and deployment
- Monitor and troubleshoot data pipelines
- Optimize data retrieval and storage data models
- Set up and analyze A/B testing
- Support feature engineering
- Unify event taxonomy and normalization layer
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Airflow | Apache Spark | Async Python | B testing | CI/CD | Cloud platform | Continuous integration | DBT | Data Governance | Data Modeling | Data Quality | Data Security | Data Warehousing | Data integration | Docker | ELT | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Microsoft Azure | Python | SQL
Education
N/A
Roles
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