Senior Data Engineer – Azure Cloud & Data Platforms
Position Summary:
Driving advanced cloud data architecture, scalable ETL pipeline engineering, and enterprise data lakehouse modernization in Abu Dhabi, CNS-ME is actively seeking an accomplished Senior Data Engineer – Azure Cloud & Data Platforms for a permanent professional engagement. In this vital data infrastructure role, you will architect, build, and optimize high-throughput data platforms, enterprise data warehouses (EDW), and cloud migration workflows. Bringing 5+ years of progressive professional experience in data engineering and big data systems, you will empower financial and enterprise systems to achieve uncompromised data integrity, real-time analytics, and operational scalability.
This prestigious career opportunity offers competitive remuneration, high technical visibility, and exceptional professional growth within a premier technology solutions enterprise.
Job Description:
As a Senior Data Engineer – Azure Cloud & Data Platforms supporting CNS-ME in Abu Dhabi, UAE, you will take full operational, architectural, and tactical ownership of ETL pipeline development, Azure cloud migration, data modeling, and big data platform optimization. Your day-to-day responsibilities include migrating on-premises workloads to Azure using Azure Data Factory, Databricks, Synapse, and Microsoft Fabric, building distributed data processing solutions in Python, Scala, Java, and Spark, and ensuring strict data governance standards.
You will collaborate closely with cross-functional data science, software engineering, and business intelligence squads in Agile sprint cycles while giving preference to immediate joiners. Furthermore, you will manage application requirements by submitting your updated resume via direct email to Syed Naveed Uddin at
- Architect, develop, test, and maintain scalable, high-performance ETL pipelines for customer data, EDW, and Data Lakehouse environments.
- Migrate complex legacy on-premises ETL workflows and databases to Azure Cloud utilizing Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, and Microsoft Fabric.
- Design and optimize enterprise-scale data architectures across hybrid on-premises and multi-cloud environments.
- Build robust dimensional data models, schemas, and semantic layers supporting advanced analytics and BI reporting.
- Develop distributed data processing solutions and automated workflows utilizing SQL, T-SQL, Python, Java, Scala, and Apache Spark.
- Implement comprehensive data quality checks, automated validation rules, and end-to-end data integrity controls.
- Enforce enterprise data security, regulatory compliance, and data governance frameworks in partnership with Data Governance teams.
- Monitor, troubleshoot, tune, and optimize data pipelines and cloud infrastructure performance for maximum throughput.
Qualifications & Skills:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Analytics, Information Technology, or related discipline.
- Minimum of 5+ years of progressive professional experience in data engineering, big data architecture, or cloud data warehousing.
- Strong, demonstrable hands-on professional expertise in Azure cloud data services (Azure Data Factory, Databricks, Synapse, Microsoft Fabric).
- Comprehensive working knowledge and practical proficiency in big data processing frameworks (Apache Spark, Scala, Python, Java).
- Deep practical experience in advanced SQL, T-SQL, ETL design, data modeling, and data lakehouse architecture.
- Solid practical grasp of data quality validation, data governance, security compliance, and CI/CD data pipelines.
- Proven analytical, troubleshooting, and cross-functional communication capabilities.
- Mandatory legal work eligibility and physical availability…
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