8 to 10 Years Relevant Experience
About the Role
We’re looking for a skilled Azure Data Engineer with strong expertise in Azure Data Factory (ADF), Azure Databricks (ADB), and the broader Azure ecosystem. This role is hands-on, with a focus on building scalable, high-performance data pipelines and solutions while guiding teams through the full development lifecycle.
Key Responsibilities
- Design, build, and manage ADF pipelines, including Polybase integrations.
- Work extensively with Azure Storage services (Blob Storage, Data Lake, Data Factory V2, Databricks).
- Develop scalable, testable, and maintainable code for data solutions.
- Work with streaming analytics and advanced Azure data services such as Data Flows.
- Deliver high-volume, low-latency distributed data solutions.
- Collaborate with Agile teams across the full software development lifecycle (analysis, design, implementation, testing, support).
- Mentor junior developers and manage small technical teams when required.
- Engage directly with clients, bringing assertiveness and proactive collaboration to the table.
Must-Have Skills
- 5+ years of experience with ADF, ADB, Azure SQL, SSIS, and SDFS.
- Strong expertise in ADF pipeline development and Polybase.
- Deep knowledge of Azure data storage and compute services.
- Proven experience delivering enterprise-scale data solutions.
- Strong understanding of software development best practices.
- Agile methodology experience with end-to-end SDLC involvement.
- Strong communication and client-facing skills.
Good-to-Have Skills
- Experience with Data Warehouse applications.
- Exposure to TTH domain projects.
- Knowledge of Azure DevOps, CI/CD pipelines, and DevOps practices.
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