Data Engineer
USD 76K-120K Mid-level Full Time
Tasks
- Automate testing and deployment for data solutions
- Build attribution crosswalk ingestion
- Build automated data ingestion and integration
- Deliver production critical path pipelines
- Design ingestion pipelines
- Develop RESTful APIs for data acquisition
- Develop and maintain analytical tables metrics and calculations
- Document pipelines validation rules and metric definitions
- Implement CI/CD for data workflows
- Implement monitoring and automated notifications
- Manage change control and pipeline testing
- Provide pipeline lineage and technical metadata
- Run data quality checks and reconciliation
- Support master data hierarchy and mappings
Perks/Benefits
- N/A
Skills/Tech-stack
ACID | Analysis Services | Apache Spark | Azure | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Compliance | Data Factory | Data Governance | Data Lake | Data Quality | Data Security | Data Versioning | Data orchestration | DataOps | Databricks | DevOps | Dimensional Modeling | ELT | ETL | Kimball Modeling | Lakehouse principles | Microsoft Fabric | Python | RESTful APIs | SQL | Scala | Schema Enforcement | Synapse Analytics | T-SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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