Data Engineer
Centennial Tower, United States
USD 121K-168K (estimate) Mid-level Full Time
Tasks
- Build data ingestion pipelines
- Define data quality SLAs SLIs
- Deliver clean curated datasets
- Develop ETL/ELT workflows
- Document data pipelines and architecture
- Implement data validation and monitoring
- Implement pipeline logging and alerting
- Integrate downstream BI and CDP tools
- Maintain data lineage and metadata practices
- Manage Databricks integrations
- Optimize data storage formats and partitioning
- Orchestrate data pipeline scheduling
- Participate in code reviews and CI/CD
- Troubleshoot pipeline failures and data discrepancies
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Amazon Kinesis | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Functions | CI/CD | Cloud PubSub | DBT | Data Factory | Data Lake Storage | Data Lakes | Data Lineage | Data Modeling | Data Quality | Data Validation | Data Warehousing | Databricks | Databricks SQL | Delta Lake | Dimensional data | Dimensional data modeling | ELT | ETL | Fivetran | GitHub Actions | Google Cloud | Google Cloud PubSub | Infrastructure as Code | Kafka | Kimball Modeling | Metadata Management | PySpark | Python | SCD | SQL | Slowly Changing Dimensions | Star Schema | Streaming Data | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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