Senior Data Engineer
Tasks
- Architect end-to-end data solutions
- Automate data integration workflows
- Build API based and real time ingestion frameworks
- Build data pipelines for integration and consumption
- Collaborate with stakeholders to define data requirements
- Contribute to architectural roadmaps and technology evaluations
- Create semantic models and KPIs with BI tools
- Develop automated testing frameworks for data jobs
- Implement CI/CD pipelines with Git
- Implement data modeling standards in data lake
- Lead technical design reviews and mentoring
- Manage metadata and data governance
- Optimize Spark and SQL workloads
- Optimize data models for self service analytics
- Prepare curated datasets for analytics
Perks/Benefits
Skills/Tech-stack
ARM | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Fabric | Azure SQL | Bicep | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Modeling | Databricks | GDPR | Git | GxP | HIPAA | Infrastructure as Code | Integration Testing | JSON | Looker | Metadata Management | Power BI | PySpark | REST | Regression testing | SQL | Spark | Tableau | Terraform | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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