Data Engineering Lead
Tasks
- Architect data platform solutions
- Build data management pipelines and data visualization products
- Coach team members for best in class delivery
- Collaborate with data scientists across data lifecycle
- Deliver data platforms and data insights
- Deliver end to end data handling management and analytics
- Design and implement data warehousing solutions
- Develop and deploy ETL solutions
- Develop automated services and APIs
- Ensure architecture components integrate for customer needs
- Implement digital development and operations
- Lead data engineering technical roadmap
- Lead project activities and evaluate business needs
- Steer application technical excellence and standards
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure Event | Azure Event Hubs | Azure Functions | Azure Logic | Azure Logic Apps | Azure Synapse | Azure Synapse Analytics | Bash | CI/CD | Data Factory | Data Governance | Data Lake | Data Lakehouse | Data Mart | Data Transformation | Data Vault | Data Warehousing | Data profiling | ELT | ETL | Event Hubs | GitHub | Integration Testing | Kubernetes | Logic Apps | Microsoft Azure | Power BI | PySpark | Python | RESTful API | SQL | Synapse Analytics | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead
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