Lead Cloud Data Engineer Contract

Job Title: Lead Cloud Data Engineer

Duration: 06 months extendable (Long Term with Marc Ellis Payroll)

Location: Dubai, UAE

Key Responsibilities:

• Developing and deploying data engineering workloads in Databricks on the Azure cloud infrastructure, managing and monitoring performance of these workloads, and ensuring security, availability, and scalability of cloud resources.
• Work with the business lines to understand the data ingestion and cloud data engineering requirements
• Work with the data modellers to translate the same into cloud/on-prem data engineering workloads design and then develop the same into appropriate engineering language – Databricks pipelines and ADF pipelines.
• Very strong hands-on skills and at least 3 years’ experience in developing databricks and Azure Data Factory pipelines
• Follow the principle of medallion architecture (3 layers of data in Azure data lake) of getting the data in right data zones basis the requirement
• Work and collaborate in multi-disciplinary Agile teams, adopting Agile spirit, methodology and tools

Requirements:

• Overall, 5-7 years of experience in data engineering and transformation on Cloud
• 3+ Years of Very Strong Experience in Azure Data Engineering, Databricks
• Expertise in supporting/developing Data warehouse workloads at enterprise level
• Experience in Pyspark is required – developing and deploying the workloads to run on the Spark distributed computing
• Candidate must possess at least a Graduate or Bachelor’s degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent.
• Cloud deployment: Preferably Microsoft azure
• Experience in implementing the platform and application monitoring using Cloud native tools

Interested candidates can send your CV to: [email protected]

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