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Lead Cloud Data Engineer
Marc EllisUnited Arab Emiratesمنذ أكثر من 30 يومًا
الوصف الوظيفيOverall, 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
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 :
Interested candidates can send your CV to : sindhu.g@marc-ellis.com
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Data Engineer • United Arab Emirates