jazzhr
Senior Data Engineer
NorthBay Solutions
Abu Dhabi, UAE
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
Microsoft Azure Data ServicesAzure Data Factory (ADF)Azure Synapse AnalyticsAzure Data Lake Storage (ADLS Gen2)Azure SQL DatabaseSQL
Free
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Microsoft Azure Data ServicesAzure Data Factory (ADF)Azure Synapse Analytics
Role Overview
We are seeking an experienced Senior Data Engineer with 8–10+ years of experience in designing, developing, and managing modern data platforms, data pipelines, and cloud-based analytics solutions. The ideal candidate will have strong expertise in Azure Data Services , large-scale data processing, data warehousing, ETL/ELT frameworks, and cloud-native data architectures. The role requires hands-on experience in building scalable, secure, and high-performance data solutions that support enterprise analytics, reporting, AI, and business intelligence initiatives.
Key Skills for This Role
Microsoft Azure Data ServicesAzure Data Factory (ADF)Azure Synapse AnalyticsAzure Data Lake Storage (ADLS Gen2)Azure SQL DatabaseSQL
Full Job Posting
Job Summary
We are seeking an experienced Senior Data Engineer with 8–10+ years of experience in designing, developing, and managing modern data platforms, data pipelines, and cloud-based analytics solutions. The ideal candidate will have strong expertise in Azure Data Services , large-scale data processing, data warehousing, ETL/ELT frameworks, and cloud-native data architectures. The role requires hands-on experience in building scalable, secure, and high-performance data solutions that support enterprise analytics, reporting, AI, and business intelligence initiatives.
Key Responsibilities
- Design, develop, and maintain scalable data platforms and data pipelines on Microsoft Azure.
- Build and optimize batch and real-time data ingestion frameworks from multiple structured and unstructured data sources.
- Design and implement data lake, data warehouse, and lakehouse architectures to support analytics and reporting workloads.
- Develop and manage ETL/ELT processes using modern cloud-native data engineering practices.
- Implement data transformation, cleansing, validation, and quality frameworks to ensure data accuracy and reliability.
- Collaborate with business stakeholders, data analysts, data scientists, and application teams to understand data requirements and deliver scalable solutions.
- Optimize data storage, processing, and query performance across enterprise data platforms.
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