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Job Description & How to Apply Below
* Build, maintain, and optimize scalable data pipelines and data processing workflows.
* Connect and integrate data from multiple enterprise source systems.
* Develop ETL/ELT processes and data transformations.
* Work with structured and unstructured data sources.
* Implement data quality checks, validation, monitoring, and remediation processes.
* Develop reusable and scalable data pipelines.
* Troubleshoot pipeline failures and data-related issues.
* Ensure data is accurate, consistent, accessible, and reliable.
* Collaborate with Application Developers, Data Scientists, Business Analysts, and Solution Architects.
* Optimize data pipelines for performance, reliability, and scalability.
* Document data flows, transformations, dependencies, and technical processes.
* Support data testing, deployment, and ongoing maintenance.#### Requirements
* 3+ years of experience in Data Engineering, ETL/ELT, or a related technical field.
* Strong SQL and Python skills.
* Experience building data pipelines and integrating multiple source systems.
* Experience with databases, data warehouses, APIs, and cloud technologies.
* Strong understanding of data quality, validation, governance, and data lineage.
* Experience working with large and complex datasets.
* Strong troubleshooting and problem-solving skills.
* Experience working in Agile or cross-functional technical environments.### Preferred Technical Skills
* Python* SQL
* ETL/ELT
* Data pipelines
* APIs* Data integration
* Cloud platforms
* Data warehouses
* Databases* Data quality and governance### Data Engineer Information Technology Abu Dhabi
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