Senior Data Engineer
US - Remote, United States
R
USD 119K-165K (estimate) Senior-level Full Time
Tasks
- Automate data transformation pipelines
- Build DB objects
- Build ETL workflows
- Build SQL stored procedures
- Design Delta Lake medallion models
- Design data architecture
- Design integrated reusable pipelines
- Develop data pipelines
- Ensure data governance
- Ensure data quality
- Ensure data security
- Implement DataOps workflows
- Implement error handling frameworks
- Implement metadata-driven ingestion
- Lead communities of practice
- Maintain data pipelines
- Manage schemas and metadata
- Mentor data team members
- Optimize SQL performance
- Optimize data pipelines
- Orchestrate data workflows
- Troubleshoot data extract load jobs
- Use version control and CI CD for data engineering
- Write complex T-SQL queries
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Functions | Azure Key Vault | Build Automation | C Sharp | Common table expressions | Continuous Deployment | Continuous integration | DDL | DML | Data Factory | Data Governance | Data Security | Data pipeline | Data pipeline automation | DataOps | Delta Lake | ETL | Error Handling | Git | Jenkins | Key Vault | Logic Apps | Metadata Driven | Metadata Driven Ingestion | Orchestration | Pipeline Automation | Powershell | PySpark | Query Optimization | Query Tuning | SQL | Stored Procedures | T-SQL | Triggers | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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