
Azure Data Engineer
3 days ago
Responsibilities:
- Design, implement, and manage end-to-end data solutions using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Function, Cosmos DB and Databricks.
- Develop and maintain efficient data pipelines and workflows to process data at scale.
- Build and maintain notebooks in Databricks for data processing and analytics.
- Collaborate with various teams to turn business needs into technical solutions.
- Design and implement solutions on Medallion Architecture, Delta lake and data Lakehouse frameworks.
- Maintain JSON files for configuration and data exchange purposes.
- Utilize and maintain Azure DevOps pipelines for continuous integration and deployment of data solutions.
- Implement and enforce best practices for data governance, security, and compliance on Azure resources and SQL Database security principles.
- Review current data solutions and identify opportunities for improvements and optimizations.
Qualifications:
- Extensive experience with Azure Synapse Analytics, Azure Data Factory, Key Vault and Databricks.
- Strong in Python and SQL for data processing and querying.
- Strong understanding of Medallion Architecture and data Lakehouse principles.
- Experience with Azure DevOps pipelines for CI/CD and version control.
- Experience in building and maintaining Function Apps using Azure Functions.
- Experience with Azure Cosmos DB for handling globally distributed, multi-model databases.
- Proficiency in maintaining JSON files.
- In-depth knowledge of security principles for Azure resources and SQL databases.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a diverse team and manage multiple priorities.
- Prior experience in a similar role within a fast-paced, dynamic environment.
- Certification in Azure Data Engineering or related disciplines would be a plus.
- Must be open for Project-based and Hybrid setup in BGC and Ortigas.
Job Type: Full-time
Work Location: In person
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