Data Engineer
Tasks
- Automate MLOps for CI CD environment management artifact handling and versioning
- Build and maintain data pipelines for ingestion transformation and export
- Deliver curated analysis ready datasets
- Develop data architecture for scalability and performance
- Ensure secure data handling and compliance
- Implement data quality testing monitoring lineage and reliability
- Maintain documentation standards and continuous improvement
- Optimize workflows for performance cost and scalability
Perks/Benefits
- Dental insurance
- Health insurance
- LinkedIn Learning access
- Meal vouchers
- Multisport card
- Optical insurance
- Paid time off
- Public transport pass
- Training budget
Skills/Tech-stack
AWS | Access Control | Alerting | Apache Airflow | Azure | CI/CD | Cloud Computing | Dagster | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Monitoring | Data Pipelines | Data Quality | Data Testing | Data Warehousing | Databricks | Dimensional Modeling | Distributed Processing | ELT | ETL | GCP | Incident Response | Infrastructure as Code | MLOps | Metrics | Observability | Partitioning | Python | Query Optimization | SQL | Snowflake Schema | Spark | Star Schema | Terraform | Workflow Orchestration | “as-code”
Education
Roles
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