Azure Data Engineer

Overview

We have an urgent requirement for Azure Data Engineer for our client based in Qatar. Client is seeking a skilled and experienced Azure Data Engineer to contribute to the development of a Labor Market Information on System (LMIS).
The LMIS will serve as a critical web‑based platform for data entry, data retrieval, and data visualization and also a tool to manage labor‑related data, streamline processes, and provide valuable insights for policy making and decision‑making purposes. The selected candidate will play a key role in designing, implementing, and maintaining the LMIS.

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and other Azure services.
• Implement data integration and ETL processes to transform raw data.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements, business needs, and use cases.
• Optimize and tune data pipelines for performance and reliability and data quality.
• Implement data security and privacy best practices, ensuring compliance with industry standards and regulations.
• Troubleshoot data‑related issues, perform root cause analysis, and implement solutions in a timely manner.
• Stay current with emerging trends, tools, and technologies in the data engineering and Azure ecosystem.
• Document data pipelines, data flows, and processes for knowledge sharing and future reference.
• Expertise in Neo4j Graph Tool is mandatory.

• Minimum of 3 to 4 years of hands‑on experience as a data engineer focused on Azure data services.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficiency in Azure Data Factory, Azure Databricks, and other relevant Azure services.
• Strong expertise in data modeling, data integration, and ETL processes.
• Experience with SQL, No
  
  SQL, and data warehousing concepts.
• Programming skills in Python, Spark, or Scala.
• Knowledge of data security, privacy, and compliance best practices.
• Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
• Strong communication skills to work effectively with cross‑functional teams and stakeholders.

• Azure certifications such as Microsoft Certified:
  Azure Data Engineer.
• Experience with data streaming technologies (e.g., Azure Stream Analytics).
• Familiarity with data visualization tools (e.g., Power BI) for creating insightful dashboards and reports.
• Knowledge of Dev Ops practices for CI/CD in data engineering pipelines.

• Data integration.
• Azure.