Azure Data Engineer
Hybrid · Makati City, Metro Manila, Philippines
Job Summary
Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (Azure Data Factory, Synapse, Databricks, and Azure Fabric). Store and organize outputs in Azure Data Lake Gen2 and Blob storage. Collaborate with data scientists, analysts, architects, and stakeholders to understand requirements and deliver high-quality data solutions. Optimize pipelines for performance, scalability, and reliability; ensure data quality and integrity; document processes and best practices; monitor and troubleshoot issues; stay current with industry trends; manage CI/CD for deploying data solutions.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
- Proven experience (5+ years) as a Data Engineer or similar role dealing with data and ETL processes.
- Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
- Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
- Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
- Experience with big data technologies (e.g., Spark).
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
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