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Senior Data Engineering Specialist
3 months ago
We are seeking a Lead Data Engineer to drive our data initiatives at G42. The ideal candidate will possess a robust background in data engineering and be adept at managing complex data systems.
Key Responsibilities- Educational Background: A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline, or equivalent professional experience.
- Experience: A minimum of 3 years in a Data Engineering capacity.
- Technical Proficiency: Expertise in SQL and programming languages such as Python, Java, and Scala.
- Big Data Technologies: Practical experience with technologies like Hadoop, Spark, and Flink.
- Machine Learning: Familiarity with frameworks including TensorFlow, PyTorch, or similar.
- Data Management: Strong grasp of data warehousing principles, ETL processes, and data modeling techniques.
- API Development: Experience in developing APIs and integrating with data services.
- Cloud Platforms: Proficient in using cloud services such as AWS and GCP.
- DevOps Knowledge: Understanding of CI/CD practices and containerization technologies like Docker or Kubernetes.
- Real-Time Processing: Experience with real-time data processing methodologies.
This role is crucial for enhancing our data capabilities and ensuring efficient data management practices at G42.