Senior Data Engineer
Tasks
- Adopt emerging data engineering trends
- Build ETL/ELT pipelines
- Collaborate with clients and teams on requirements
- Define data modeling conventions
- Design data platform architectures
- Document architectures for knowledge transfer
- Enable data products for analytics and APIs
- Establish data governance policies
- Implement schema evolution
- Maintain authoritative data catalogs
- Manage dataset versioning
- Mentor data engineers
- Optimize query performance
- Orchestrate data workflows
- Review designs and code
- Validate datasets against sources
Perks/Benefits
- Educational budget
- Flexible remuneration
- Flexible working hours
- Hybrid work
- Language classes
- Private health insurance
- Relocation package
- Work visa sponsorship
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Iceberg | Apache Spark | Argo Workflows | Azure | CI/CD | Cloud Data | Cloud Data Platforms | Cloud platform | Columnar Storage | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Versioning | Data platforms | Database Management | Delta Lake | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Lakehouse | Metadata Management | NoSQL | Object storage | Parquet | Python | SQL | Schema evolution | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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