Data Processing Engineer Jobs in Dubai

• 0 - 2 Years
• Dubai - United Arab Emirates (UAE)

Responsible for accurate data entry, conducting audits, maintaining confidentiality, and proficient in data management and Microsoft Excel.

• 10 - 16 Years
• Dubai - United Arab Emirates (UAE)

Design and manage scalable data pipelines, convert business requirements into specifications, and collaborate using Azure tools and methodologies.

• 0 - 2 Years
• Dubai , Sharjah , Abu Dhabi - United Arab Emirates (UAE)

Responsible for accurate data entry, maintaining data integrity, utilizing software tools, and collaborating with teams to enhance data management processes.

• 5 - 10 Years
• Dubai - United Arab Emirates (UAE)

Design and document BICC extraction framework, optimize data performance, validate data using OTBI, and require expertise in Oracle Fusion and SQL.

• 6 - 9 Years
• Dubai - United Arab Emirates (UAE)

The role involves driving automation, data analytics, and AI initiatives, requiring advanced SQL skills, stakeholder collaboration, and expertise in digital strategies.

• 1 - 7 Years
• Dubai - United Arab Emirates

Contribute to data pipelines, enhance codebases, and communicate with analysts; requires Python, SQL, and a strong motivation for data engineering.

• 3 - 5 Years
• Abu Dhabi - United Arab Emirates , Dubai - United Arab Emirates

Design and maintain data pipelines, build ETL workflows, and collaborate with researchers, requiring strong Python skills and understanding of data systems.

• 1 - 2 Years
• Dubai - United Arab Emirates (UAE)

Responsible for accurate data entry, verification, and organization, requiring skills in data management, Excel proficiency, and attention to detail.

• 0 - 4 Years
• Dubai - United Arab Emirates (UAE)

Accurately input and verify data, utilize software tools for efficiency, and maintain records; requires attention to detail and proficiency in Excel.

• 1 - 2 Years
• Dubai - United Arab Emirates (UAE)

Responsible for accurate data entry, conducting audits, maintaining confidentiality, and proficient in data management tools and Microsoft Excel.

• 2 - 8 Years
• Dubai - United Arab Emirates (UAE)

Responsible for accurate data entry, maintaining data integrity, utilizing software tools, and collaborating with teams while ensuring confidentiality and efficiency.

• 0 - 2 Years
• Dubai , Sharjah , Abu Dhabi - United Arab Emirates (UAE)

Accurately input and update data, ensuring data integrity and utilizing software tools; requires attention to detail and proficiency in Excel.

• 5 - 10 Years
• Dubai - United Arab Emirates (UAE)

Responsibilities include data analysis, feature engineering, and automation using Python, Spark, SQL, and tools like Jupyter and Git.

• 3 - 6 Years
• Dubai - United Arab Emirates (UAE)

Design and maintain data pipelines, develop ETL processes, ensure data quality, collaborate with stakeholders, and advocate for agile methodologies.

• 4 - 8 Years
• Dubai - United Arab Emirates (UAE)

Build and scale data pipelines, execute trading signals, maintain infrastructure, and develop algorithms using Python and cloud technologies.

• 5 - 10 Years
• Dubai - United Arab Emirates (UAE)

Design and maintain scalable data architectures on Microsoft Fabric, optimize data pipelines with Python and PowerShell, and implement data governance practices.

• 5 - 8 Years
• Dubai - United Arab Emirates (UAE)

Develop and maintain data architecture models, define standards, ensure compliance, and support analytics initiatives with strong stakeholder engagement.

• 8 - 10 Years
• Dubai - United Arab Emirates (UAE)

Manage enterprise database administration, security, and performance while supporting healthcare applications and ensuring compliance with regulatory standards.

• 10 - 15 Years
• Dubai - United Arab Emirates (UAE)

Drive digital transformation and AI strategy, ensuring ethical practices while enhancing stakeholder collaboration and optimizing automation for business growth.

• 12 - 20 Years
• Dubai - United Arab Emirates (UAE)

Lead Data and AI delivery, ensuring excellence in project management, client relationships, and business growth while driving innovation and operational efficiency.

• 8 - 13 Years
• Dubai - United Arab Emirates

Design and optimize Azure and Databricks data infrastructure, develop ETL pipelines, and support AI-driven applications with strong Python and SQL skills.

• 6 - 8 Years
• Dubai - United Arab Emirates

Design and maintain scalable ETL pipelines, optimize data architectures, ensure data quality, and mentor junior engineers in a remote environment.

• 8 - 12 Years
• Dubai - United Arab Emirates

Design, develop, and optimize data pipelines and ETL processes using AWS services and open-source tools, ensuring data integrity and collaboration with data scientists.

• 3 - 8 Years
• Dubai - United Arab Emirates

Design and maintain ETL pipelines using PySpark on Cloudera, ensuring data quality, performance optimization, and collaboration with stakeholders.

• 5 - 7 Years
• Dubai - United Arab Emirates

Design and maintain scalable ETL pipelines using PySpark, ensure data quality, and optimize performance on Cloudera Data Platform.

• 0 - 2 Years
• Dubai - United Arab Emirates

Deploy and manage AI evaluation processes, perform data analysis, build scalable data pipelines, and collaborate with teams while utilizing Python and SQL.

• 3 - 5 Years
• Dubai - United Arab Emirates

Architect and optimize data storage solutions, develop ETL processes, ensure data governance, and provide technical leadership in data engineering.

• 5 - 7 Years
• Dubai - United Arab Emirates

Responsible for designing scalable data pipelines, enforcing data contracts, and collaborating with teams while ensuring data security and compliance.

• 1 - 7 Years
• Dubai - United Arab Emirates

Responsible for developing and maintaining data pipelines, ensuring data quality, and collaborating with analysts using cloud platforms and programming languages.

• 2 - 5 Years
• Dubai - United Arab Emirates

Seeking an experienced Cloudera Data Engineer to build and maintain big data pipelines, optimize workflows, and ensure data governance and performance.