Senior Data Engineer
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Key skills for this role
About the Role
NorthBay is seeking an experienced Senior Data Engineer for an onsite role in Abu Dhabi. The position involves designing and managing modern data platforms, data pipelines, and cloud-based analytics solutions on Microsoft Azure.
Key Skills for This Role
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 data sources
- Design and implement data lake, data warehouse, and lakehouse architectures
- Develop and manage ETL/ELT processes using modern cloud native data engineering practices
- Implement data transformation, cleansing, validation, and quality frameworks
- Collaborate with business stakeholders, data analysts, data scientists, and application teams
- Optimize data storage, processing, and query performance across enterprise data platforms
- Implement security, governance, monitoring, and compliance best practices across Azure environments
- Support integration of data platforms with AI/ML, business intelligence, and enterprise applications
- Participate in architecture reviews, code reviews, troubleshooting, and technical mentoring
Requirements
- 8–10+ years of experience in Data Engineering, Data Warehousing, and Enterprise Data Platform development
- Strong hands on experience with Microsoft Azure Data Services
- Expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), and Azure SQL Database
- Experience building and managing large scale ETL/ELT pipelines and data integration solutions
- Strong proficiency in SQL, query optimization, and database performance tuning
- Hands on experience with PySpark, Apache Spark, and distributed data processing frameworks
- Strong programming skills in Python, Scala, or Java
- Experience with dimensional modeling, data warehousing concepts, and modern lakehouse architectures
- Strong understanding of data governance, data quality, metadata management, and security best practices
- Hands on experience with Git, CI/CD pipelines, and DevOps practices
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.
- Implement security, governance, monitoring, and compliance best practices across Azure environments.
- Support integration of data platforms with AI/ML, business intelligence, and enterprise applications.
- Participate in architecture reviews, code reviews, troubleshooting, and technical mentoring activities.
- Ensure high availability, scalability, and operational excellence of data platforms and pipelines.
Required Skills & Qualifications
- 8–10+ years of experience in Data Engineering, Data Warehousing, and Enterprise Data Platform development.
- Strong hands on experience with Microsoft Azure Data Services.
- Expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), and Azure SQL Database.
- Experience building and managing large scale ETL/ELT pipelines and data integration solutions.
- Strong proficiency in SQL, query optimization, and database performance tuning.
- Hands on experience with PySpark, Apache Spark, and distributed data processing frameworks.
- Strong programming skills in Python, Scala, or Java.
- Experience with dimensional modeling, data warehousing concepts, and modern lakehouse architectures.
- Experience working with structured, semi structured, and unstructured data.
- Strong understanding of data governance, data quality, metadata management, and security best practices.
- Experience with REST APIs, data integration patterns, and enterprise system connectivity.
- Hands on experience with Git, CI/CD pipelines, and DevOps practices.
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