Ingénierie des données Senior // Senior Data Engineering
Tasks
- Build data quality monitoring and alerting frameworks
- Collaborate with analysts data scientists and product teams
- Conduct code reviews and provide feedback
- Contribute to data governance, security, and compliance
- Design event driven real time data flows
- Drive data modeling and pipeline best practices
- Implement batch and streaming data systems
- Lead data pipeline design and implementation
- Mentor and coach intermediate engineers
- Optimize cloud data infrastructure for performance and cost
- Own end-to-end data engineering projects
Perks/Benefits
- Commuter benefits
- Experience allocation
- Flexible paid time off
- Health insurance
- Learning allowance
- Parental leave top-up
- Travel experience perk
- Wellness allowance
- Work-from-anywhere program
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | Airflow | Amazon ECS | Amazon EMR | CI/CD | CloudFormation | Dagster | Data Lake | Data Modeling | Data Quality | Data Warehousing | DataOps | Docker | Infrastructure as Code | Java | Kafka | Kinesis | Kubernetes | Lakehouse | Machine Learning | Monitoring | Observability | Python | Query Optimization | REST API | SQL | Scala | Snowflake | Streaming Analytics | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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