Data Engineer (in person)
Tasks
- Build and maintain data pipelines and transformations
- Communicate progress blockers and risks to teams and stakeholders
- Configure orchestration and workflow tooling
- Implement data models for analytics use cases
- Implement infrastructure as code for data platforms
- Investigate and resolve pipeline failures and performance issues
- Participate in peer code review and contribute to documentation
- Write data quality checks and tests for pipelines
Perks/Benefits
- Community of peers
- Flexible work schedule
- Friendly team culture
- Learning and development opportunities
- Modern office facilities
- Peer mentorship
Skills/Tech-stack
ARM | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | Automated testing | Azure | Bicep | C# | CI/CD | Cloud platform | DBT | Data Modeling | Data models | Databricks | Databricks Workflows | Dimensional Modeling | GitHub Actions | Google Cloud | Google Cloud Platform | Lakehouse | Microsoft Fabric | Microsoft Purview | Normalized Data | Normalized data models | Python | R | SQL | Scala | Snowflake | Source Control | Temporal | Terraform | Unity Catalog | Web Services
Education
N/A
Roles
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