Azure Data Engineer
7 days ago
Qualification & Experience:
- Bachelor's Degree or equivalent.
- 5–7 years of overall experience.
- 5+ years of strong hands-on expertise in Azure Data Factory (ADF) and SQL.
Key Skills:
Primary Technical Skills:
- Expert in SQL and Azure Data Factory—must-have.
- Proven experience designing and building scalable data pipelines in ADF.
- Skilled in ingesting batch and streaming data, with complex transformations.
- Experience integrating data from APIs (REST, OAuth, SOAP) into Azure Data Lake Storage Gen2 or Azure Synapse Analytics.
- Proficient in handling semi-structured data formats like Parquet and JSON.
- Azure Synapse and Data Warehouse experience—designing secure data models and managing analytics workloads.
- Hands-on with Azure Data Lake, Delta Lake, and Blob Storage.
- Strong understanding of data modeling, design, optimization, and best practices.
- Experience working with very large datasets and delivering analytical insights.
Secondary Technical Skills:
- Familiarity with DevOps tools and creating CI/CD pipelines on Azure.
- Ability to build programs to extract data from external applications and services using REST APIs and various authentication methods.
- Knowledge of NoSQL databases (Document DB, Graph DB) is a plus.
Behavioral Skills:
- Strong communication and collaboration skills.
- Ability to thrive in a cooperative team environment.
What You'll Do:
- Design, develop, and maintain robust data pipelines in Azure.
- Build scalable ingestion and transformation processes for structured and semi-structured data.
- Collaborate with business and technical teams to deliver high-quality data solutions.
- Optimize data workflows and ensure secure, performant access to analytics-ready data.
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