JOBILY AI SUMMARY
What you'll do
- Design, build, and maintain data pipelines using Azure Data Factory, Synapse, and related services
- Develop and optimize ETL/ELT processes for structured and unstructured data sources
- Implement data models and ensure data consistency, quality, and governance across environments
- Manage and monitor Azure-based data solutions, ensuring scalability, security, and performance
- Collaborate with cross-functional teams to integrate data solutions with business intelligence and analytics platforms
- Troubleshoot and optimize existing pipelines and data workflows for efficiency and reliability
Key requirements
- 3+ years' experience
- Experience with Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Databricks
- Proficiency in SQL, Python, or PySpark for data transformations
- Knowledge of data warehousing concepts, ETL/ELT design patterns, and data lake architectures
- Familiarity with DevOps practices, CI/CD pipelines, and version control (Git)
- Strong problem-solving skills
Benefits
- Lunch Is On Us: Monthly allowance for your favorite meals.
- Health First: Private health & life insurance for peace of mind.
- Set Up For Success: The right tools to stay connected and perform your best.
About the job
We are looking for an Azure Data Engineer. In this role, you will be responsible for designing and implementing data pipelines, managing cloud-based data platforms, and optimizing data storage and processing solutions within the Microsoft Azure ecosystem. You'll collaborate closely with data…

