Data Engineer
Tasks
- Build and maintain MLOps automation with CI CD and versioning
- Build and maintain data pipelines for ingestion transformation and export
- Deliver curated analysis ready datasets for self service analytics
- Develop scalable data architecture
- Document standards and improve data platform
- Ensure secure data handling and compliance
- Implement access controls auditability and governance practices
- Implement data quality testing monitoring lineage and reliability
- Optimize workflows for performance cost and scalability
Perks/Benefits
- Career growth opportunities
- Dental insurance
- Employer pension contribution
- Group life assurance
- Health insurance
- LinkedIn Learning access
- Social activities
- Teambuilding activities
- Training budget
- Unlimited learning access
Skills/Tech-stack
AWS | Access Control | Alerting | Apache Airflow | Apache Spark | Audit Logging | Auditability | Azure | CI/CD | Cloud Computing | Dagster | Data Governance | Data Lineage | Data Modeling | Data Monitoring | Data Pipelines | Data Quality | Data Security | Data Warehousing | Databricks | Dimensional Modeling | ELT | ETL | GCP | Incremental ingestion | Infrastructure as Code | Metrics | Observability | Orchestration | Partitioning | Python | Query Optimization | SQL | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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