Data Engineer
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About the Role
We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for c.
Key Skills for This Role
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Overview
We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE.
The role is hands-on and client-facing, owning data solutions end-to-end from architecture and development to production and hypercare on cloud and on-premise.
Key Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.
- Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.
- Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.
- Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).
- Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.
- Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).
- Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.
- Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production & Hypercare.
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