Sr Azure Data Engineer
Arokee
2 - 5 years
Bengaluru
Posted: 27/12/2025
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Job Description
We are seeking aSenior Azure Data Engineer to lead the design, development, and optimization of enterprise-scale data platforms on Microsoft Azure. The ideal candidate will bring deep expertise in Azure Data Factory, SQL, and Microsoft Fabric, and will play a critical role in defining data architecture standards, best practices, and mentoring junior engineers.
Key Responsibilities:
- Architect and lead the development of scalable, secure, and high-performance data pipelinesusing Azure Data Factory
- Design and implement end-to-end data solutions using Microsoft Fabric, including Lakehouse, Data Engineering, and Data Warehousecomponents
- Optimize complex SQL queries and data modelsto ensure performance, reliability, and scalability
- Define and enforce data architecture standards, best practices, and governance frameworks
- Lead data ingestion from multiple sources, including on-premises systems, cloud platforms, APIs, and streaming data
- Monitor, troubleshoot, and optimize data pipelines and overall system performance
- Collaborate closely with business and technical stakeholders to translate requirements into robust technical solutions
- Mentor junior data engineers and conduct code and design reviews
- Ensure security, compliance, and cost optimizationacross Azure data services
- Create and maintain architecture diagrams, technical documentation, and design artifacts.
Required Skills & Qualifications:
- 6+ years of experiencein Data Engineering
- Strong hands-on expertise with Microsoft Azure Cloud services
- Advanced experience with Azure Data Factory
- Expert-level SQL proficiency, including performance tuning, indexing, and complex transformations
- Strong hands-on experience with Microsoft Fabric
- Solid understanding of ETL/ELT patterns, data warehousing concepts, and analytics architectures
- Proven experience designing and supporting large-scale, high-volume data solutions
Good to Have:
- Experience with Azure Synapse Analytics
- Knowledge of Spark / PySpark
- Experience with Power BIand semantic data models
- Exposure to CI/CD pipelines using Azure DevOps
- Familiarity with data governance and metadata management tools
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