Title: Data Engineer
Location: Dubai, UAE
Duration: 6 months extendable
Key Responsibilities:
• Collaborate with business lines to understand data ingestion and engineering requirements.
• Translate requirements into cloud/on-premise data engineering designs and develop Databricks and Azure
Data Factory (ADF) pipelines.
• Strong hands-on skills with at least 3 years of experience in developing Databricks and ADF pipelines.
• Implement medallion architecture principles (three-layered data zones) in Azure Data Lake.
• Work collaboratively within multi-disciplinary Agile teams, adopting Agile methodology and tools.
• Scale and code applications across multi-cloud environments integrated with on-premise systems.
• Proactively identify and remediate potential operational risks in collaboration with the platform lead.
Qualifications & Experience:
Minimum Qualification:
• Bachelor's degree in Computer Science, Information Technology, Engineering
(Computer/Telecommunication), or equivalent.
• Experience:
• 5–7 years of experience in data engineering and transformation on Cloud.
• 3+ years of strong hands-on experience in Azure Data Engineering, Databricks.
• Expertise in supporting and developing enterprise-level data warehouse workloads.
• Proficiency in developing and deploying workloads using PySpark on distributed computing environments.
• Experience with cloud deployment, preferably on Microsoft Azure.
• Experience in platform and application monitoring using cloud-native tools.
• Ability to implement proactive and reactive self-healing solutions for applications.