Senior Data Engineer (in person)
Tasks
- Build and maintain infrastructure as code for data platforms
- Build batch and streaming data pipelines
- Communicate progress and technical tradeoffs to stakeholders
- Configure orchestration and workflow tooling
- Design and implement data pipelines and transformations
- Develop analytics data models
- Implement data quality checks
- Mentor data engineers
- Provide technical direction for data engagements
- Support client meetings with technical input
- Translate data architecture into implementation plans
Perks/Benefits
- Flexible work schedule
- Friendly peer community
- Learning and development opportunities
- On-site facilities
- Opportunity to try different roles
Skills/Tech-stack
ARM | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | Azure | Batch Processing | Bicep | C# | CI/CD | DBT | Data Modeling | Data Vault | Data pipeline | Databricks | Dimensional Modeling | GitHub Actions | Lakehouse | Microsoft Fabric | Microsoft Purview | Python | R | SQL | Scala | Snowflake | Streaming processing | Terraform | Unity Catalog | Web Services
Education
N/A
Roles
Regions
Countries
States
Cities
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