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Data Engineer
4 weeks ago
We're looking for a Data Engineer to design and maintain scalable data pipelines and models that support analytics and business intelligence. You'll play a key role in ensuring seamless data flow, optimizing performance, and maintaining data integrity across various functions for our client in United Arab Emirates.
What You'll Do- Develop & Manage Pipelines – Design, build, and maintain reliable data pipelines and models.
- Optimize Data Models – Create structured and efficient schema designs.
- ETL & Data Integration – Implement and manage ETL processes for smooth data movement.
- Ensure Data Accuracy – Establish validation checks and governance standards.
- Experience: 3+ years in data engineering, working with ETL pipelines, data modeling, and governance.
- Cloud Expertise: Experience with Azure (preferred), AWS, or GCP and tools like Synapse Analytics, Databricks, and Spark.
- Technical Skills: Proficiency in Python, PySpark, Java, or Scala for data processing.
- Database Knowledge: Strong understanding of SQL, NoSQL, and big data technologies (Hadoop, Kafka, Spark).
- Data Governance: Familiarity with Informatica, Collibra, Purview, and Databricks governance tools.
- Integration & Orchestration: Experience with Azure Data Factory, Logic Apps, and API-based data integration.
- Visualization & Reporting: Exposure to Power BI, Tableau, or similar tools.
Mid-Senior level
Employment typeContract
Job functionTelecommunications
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