Senior Data Engineer (Ukraine)
Tasks
- Apply privacy preserving transformations
- Architect global scale data systems
- Build AWS based pipeline architecture
- Build and maintain data platforms
- Build automated data cleaning and validation
- Collaborate with ML and data teams
- Design dataset versioning and reproducibility systems
- Design production data pipelines
- Develop resilient ingestion pipelines
- Ensure secure data transfer
- Establish data lineage and retention policies
- Implement data governance and access controls
- Integrate labeling and annotation systems
- Operate end to end data lifecycle
- Optimize cost, performance, and reliability
- Provide scalable data services for AI and ML
- Support continuous data refresh and retraining
- Translate feedback into pipeline improvements
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Step Functions | Access Control | Amazon EC2 | Amazon S3 | Amazon SageMaker | C++ | Data Annotation | Data Governance | Data Lineage | Data Obfuscation | Data Pipelines | Data Privacy | Data Processing | Data Retention | Data Validation | Data cleaning | Data labeling | Dataset versioning | Distributed data | Distributed data processing | Machine Learning | Python | Reproducibility | Step Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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