Data Engineer (Contractor)
Tasks
- Build and maintain MLOps automation with CI CD and environment management
- Build and maintain data pipelines for ingestion transformation and export
- Develop scalable data architecture
- Document data platform standards and engineering processes
- Ensure secure data handling and compliance
- Implement access controls auditability and governance
- Implement data quality testing monitoring lineage and reliability practices
- Optimize data workflows for performance cost and scalability
- Partner with analysts and data scientists to deliver analysis ready datasets
Perks/Benefits
- International team environment
- MyPOS Academy for upskilling and training
- Refer a friend bonus
- Teambuilding and Social Activities
- Unlimited access to courses on LinkedIn Learning
Skills/Tech-stack
AWS | Access Control | Alerting | Apache Airflow | Auditability | Azure | CI/CD | Cloud Computing | Dagster | Data Architecture | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Monitoring | Data Quality | Data Quality Checks | Data Retention | Data Testing | Data pipeline | Databricks Workflows | Dimensional Modeling | Distributed Computing | ELT | ETL | GCP | Incident Response | Incremental Data Ingestion | Infrastructure as Code | MLOps | Metrics monitoring | Model Monitoring | Observability | Partitioning | Python | Quality checks | Query Optimization | SQL | Snowflake Schema | Spark | Star Schema | Terraform | Workflow Orchestration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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