Senior Data Engineer
Tasks
- Build automated frameworks for data ingestion transformation orchestration and deployment
- Design solutions for functional and non-functional requirements
- Develop automated data validation and quality checks
- Ensure solution adoption through training and readiness planning
- Integrate AI/ML capabilities into data pipelines
- Lead AI and LLM tooling for data engineering workflows
- Own software components across stages and iterations
- Perform root cause analysis for continuous improvement
- Provide production support for data pipelines and incident resolution
- Support agile development practices
- Write documentation for designs architecture and code
Perks/Benefits
- Annual performance bonus
- Bereavement leave
- Dental insurance
- Education reimbursement
- Family bonding
- Flex work
- International share save plan
- Life insurance
- Medical insurance
- Paid time off
- Referral program
- Remote work
- Work from home
Skills/Tech-stack
API Gateway | AWS | AWS Lambda | Amazon Aurora | Amazon DynamoDB | Amazon EC2 | Amazon ECS | Amazon Redshift | Amazon SNS | Amazon SQS | Anomaly Detection | Cause analysis | Data Ingestion | Data Quality | Data Transformation | Data Validation | Data orchestration | Distributed Systems | Drift Detection | MLOps | Machine Learning | Metadata enrichment | Observability | PySpark | Python | Root Cause Analysis | Root cause | SQL | Schema drift | Schema drift detection
Education
Roles
Regions
Countries
States
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