Machine Learning Engineer jobs in United Arab Emirates
Data Analytics Business Analyst - Big Data & Impact
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Health Actuarial Analyst: Data-Driven Modelling in Dubai
Milliman
Quant R&D Data Scientist: Build Pipelines & Insights
Abu Dhabi Investment Authority
Senior Data Scientist: Build & Deploy Real-World ML
RED TIC
Business Intelligence & Data Analyst
Brombeer IT Systems LLC
Sports Scientist and Data Analyst
Three Dimension Physical Performance
Readvertisement - Data Scientist (Scientist/Senior Scientist)
ICARDA
Data Analyst: Shape Insights, Build Reports & Optimize
JobLeader
Senior Data Engineer
Job summary
A leading retail and hospitality firm in Dubai is seeking an experienced Azure Data Engineer with 6-8 years in data solutions. The role requires expertise in ETL processes, data modelling, and integration, with proficiency in Python, SQL, and Azure technologies. Responsibilities include optimizing data strategies, collaborating with cross-functional teams, and driving innovation through data analytics. Join this dynamic team to shape the organization's data-driven journey while engaging with advanced technologies.
Qualifications
- 6-8 years of experience as an Azure Data Engineer.
- Proficiency in data programming languages like Python, SQL, or Scala.
- Experience with ETL pipelines using Azure Data Factory.
Responsibilities
- Design and optimize data solutions as an Azure Data Engineer.
- Collaborate with teams to provide data-driven insights.
- Monitor and troubleshoot data platform performance.
Skills
Tools
Experience Range – 6 to 8 years
- Responsible for the design, implementation, and optimization of data solutions as an expert Azure Data Engineer with 6-8 years of experience.
- Proficiency in programming languages like Python, SQL, or Scala for data manipulation, transformation, and analysis.
- Expertise in data modelling, data warehousing, and data integration concepts.
- Sound knowledge of data governance practices, data quality management, and data security principles.
- Develop efficient ETL pipelines using Azure Data Factory and ensure data quality and storage via Azure Data Lake.
- Utilize proficiency in complex stored procedures within Azure Databricks to enable advanced analytics on data volumes exceeding 50TB.
- Collaborate cross-functionally to contribute to data-driven initiatives, leveraging Azure Synapse Analytics to provide actionable insights.
- Apply deep understanding of the retail domain to enhance data strategies and solutions for retail‑specific challenges.
- Play a pivotal role in shaping the organization’s data‑driven journey, driving innovation through data analytics and insights.
- Optimize data storage, processing, and retrieval mechanisms for performance, cost, and scalability using services such as Azure Data Lake Storage, Azure SQL Database, Azure Databricks, Azure Synapse, PowerBI, Qlik, Data API builder, logic apps, etc.
- Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for continuous improvement.
- Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps, PowerShell, or other relevant tools.
- Stay up‑to‑date with the latest trends and advancements in cloud data services and provide recommendations on adopting new technologies or features to enhance the data platform.
- Document technical designs, procedures, and guidelines for data platform engineering and operations.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.