 
						Azure Data Engineer
5 days ago
Key Responsibilities
- Design, build, and maintain ETL pipelines using Azure Data Factory (preferably Fabric Data Factory) and SQL.
- Write and optimize complex SQL logic to ensure performance and scalability across large datasets.
- Ensure data quality, monitoring, and observability with restartability, idempotency, and debugging principles in mind.
- Enhance ETL processes with Python scripting where applicable.
- Collaborate with business unit partners to translate requirements into effective data solutions.
- Document workflows, standards, and best practices; mentor junior team members.
- Implement version control (GitHub) and CI/CD practices across SQL and ETL processes.
- Work with Azure components such as Blob Storage and integrate with orchestration tools.
- Apply troubleshooting and performance-tuning techniques to improve data pipelines.
Required Skills & Experience
- Strong hands-on SQL development with focus on integration, optimization, and performance tuning.
- Proven experience with Azure Data Factory (ADF), with preference for Fabric Data Factory.
- Exposure to ETL/orchestration tools such as Matillion (preferred but not mandatory).
- Proficiency in Python for ETL enhancements and automation.
- Understanding of cloud platforms, particularly Microsoft Azure services.
- Familiarity with version control (GitHub) and CI/CD in data environments.
- Excellent communication and technical writing skills to engage with stakeholders.
- Having Advanced Azure certifications would be a plus.
Technology & Skill Areas
- Core: Azure Data Factory / Fabric Data Factory, SQL, Python
- Secondary: Matillion, Azure Blob Storage
- Skill Areas: Data Integration, Data Quality, Performance Optimization, Cloud Data Engineering
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