Data Engineer III 4P/598
Tasks
- Build Azure data lake pipelines
- Build and maintain Databricks pipelines
- Create and manage Azure Data Factory workflows
- Deploy and manage Azure Databricks pipelines
- Design and implement data models
- Design scalable data pipelines
- Develop Spark Hive and Hadoop solutions
- Develop batch and real-time data processing solutions
- Ensure data governance and reliability
- Implement CI/CD pipelines for data deployments
- Implement data quality frameworks
- Integrate APIs and web services
- Integrate and enrich multiple data sources
- Normalize databases and design schemas
- Optimize data access and storage
- Transform raw data into analytics-ready datasets
- Use Docker and OpenShift for containerization
- Work in agile development environments
Perks/Benefits
- N/A
Skills/Tech-stack
API | Agile | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure Key Vault | Azure Synapse | CI/CD | Data Factory | Data Lake | Data Modeling | Docker | Golden Gate | Hadoop | Hive | Informatica | Key Vault | MSBI | OpenShift | Oracle Golden | Oracle Golden Gate | Power BI | Python | R | SQL | SSAS | SSIS | Spark | Web Services
Education
N/A
Roles
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