Senior Data Engineer (Azure Databricks / Data Engineering)
Tasks
- Apply enterprise software engineering best practices
- Automate releases and deployments
- Build data pipelines
- Collaborate with stakeholders on data requirements
- Design data platforms
- Develop API service layers
- Develop ingestion workflows
- Implement transformation jobs
- Integrate AI enabled development workflows
- Maintain reusable engineering frameworks
- Optimize performance and reliability
- Orchestrate notebook execution
- Provide technical mentorship and guidance
- Schedule and deploy data jobs
- Support data governance compliance
Perks/Benefits
- Career advancement
- Collaborative environment
- Continuous learning
- Health benefits
- Innovation-focused culture
- Professional growth
- Referral program
Skills/Tech-stack
API Development | Apache Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure SQL | Cloud Data | Cloud Data Platforms | Data Factory | Data Ingestion | Data Lake Storage | Data Transformation | Data pipeline | Data platforms | Governance | Job Scheduling | Lakeflow | Python | SQL | Unity Catalog | Workflow Orchestration
Education
Roles
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