Senior Data Engineer 🇺🇸
Hybrid (New York, New York, US)
R
USD 160K-200K Senior-level Full Time
Tasks
- Add automated testing and observability
- Architect lakehouse solutions
- Build production data pipelines
- Contribute technical documentation
- Design ETL ELT workloads
- Govern data with Unity Catalog
- Implement Delta Lake architectures
- Implement dataops practices
- Mentor data engineers
- Model data for warehousing and analytics
- Optimize Apache Spark performance
- Set up CI CD for data pipelines
- Support technical delivery
- Use infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Redshift | Amazon S3 | Apache Spark | Automated testing | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | CI/CD | Cloud Dataflow | Cloud Storage | Data Factory | Data Lake Storage | Data Modeling | Data Warehousing | Databricks | Databricks Workflows | Delta Lake | ELT | ETL | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Storage | Infrastructure as Code | Lakehouse | Observability | Python | Scala | Unity Catalog | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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