Data Engineer / Data Analyst confirmé à expert (F/H)
Tasks
- Analyze risk and finance data requirements
- Automate deployments with CI/CD
- Build event-driven architectures with Kafka
- Configure Kafka producers consumers topics and partitions
- Contribute to reporting and dashboard tooling improvements
- Create reliable business indicators
- Cross reference and qualify data sources
- Define and manage data quality controls
- Design data pipelines batch and real-time
- Develop and control data processing according to business rules
- Develop and optimize big data processing with Spark
- Document data flows and operational procedures
- Ensure data quality traceability and governance
- Formalize business rules and calculation specifications
- Implement monitoring, alerting, and logging
- Improve robustness resilience performance scalability
- Investigate data discrepancies and anomalies
- Maintain AWS data platforms
- Present insights to business teams
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Data Governance | Data Lake | Data Modeling | Data Quality | Data Transformation | Datadog | Docker | Event Driven | Event-driven architecture | Git | GitHub Actions | GitLab CI | Grafana | Hadoop | JSON | Jenkins | Jupyter Notebook | Kafka | Kafka Connect | Kubernetes | MongoDB | Pandas | Prometheus | PySpark | Python | SQL | Scala | Spark | Spark SQL | Terraform
Education
Roles
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