Mid-Level Engineer, Global
Tasks
- Apply data governance security and engineering standards
- Collaborate with Business Analysts on data requirements
- Conduct code reviews and technical discussions
- Design build maintain data pipelines
- Develop and operate batch incremental pipelines
- Ensure data quality, consistency, and documentation
- Identify data quality issues and communicate risks
- Implement SQL and Spark transformations
- Monitor troubleshoot and optimize production pipelines
- Work with Azure Synapse for analytics workloads
Perks/Benefits
- 401k match
- Disability insurance
- Employee assistance program
- Employee recognition
- Life insurance
- Medical/Dental/Vision insurance
- Paid time off
- Training and development
Skills/Tech-stack
Agile | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Functions | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Modeling | Data Quality | Dimension tables | ELT | ETL | Fact tables | Git | GitHub | Jira | Logic Apps | PySpark | Python | SQL | Spark | Synapse Analytics
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science
Roles
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