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The company is seeking a high-potential Data Engineer Graduate Intern to join our Technology and Innovation team. This role is designed for candidates with strong analytical foundations and an interest in building scalable, enterprise-grade data platforms that support operational, engineering, and executive decision-making.
As an intern, you will contribute to the design, development, and optimization of cloud-based data pipelines and analytics platforms, primarily within the Microsoft Azure ecosystem. You will work alongside experienced data engineers, architects, and product teams on real delivery programs, gaining exposure to enterprise data standards, governance, and DevOps practices.
Key Responsibilities:
- Work with frameworks like Apache Spark, Hadoop, or Apache Beam to process large datasets efficiently.
- Assist in designing and implementing ETL/ELT processes using Azure Data Factory and Databricks.
- Manage and query relational and NoSQL databases.
- Support the development and optimization of modern data warehouse solutions.
- Build and manage workflows using orchestration tools like Apache Airflow.
Technical Requirements:
- Proficiency in Python and SQL.
- Experience with data processing frameworks and ETL/ELT processes.
- Familiarity with Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
Preferred Qualifications:
- Exposure to Azure DevOps or GitHub Actions.
- Familiarity with Agile/Scrum delivery environments.
- Knowledge of data privacy regulations (e.g., GDPR).
Education:
Bachelor’s degree (or final-year student) in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
Location:
Dubai, Dubai, United Arab Emirates
Work Conditions:
On-site, Full-time
Duration:
Internship duration: 3 to 6 months with possibility of extension.
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