Cloud Data Engineer Azure Databricks
Cloud Data Engineer Azure Databricks
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Job Description
*MustHave:
Bachelors degree in science Technology Engineering or Mathematics.
7 years of experience as a data engineer with strong proficiency in Azure cloud services Databricks and Azure Data Factory
3 years of experience with designing and implementing data solutions using Azure Cloud.
Azure Data Engineering or Databricks Certification.
Strong knowledge of programming languages such as Python SQL or Scala.
Experience with data modeling ETL/ELT development data integration and orchestration techniques
Experience with designing and developing endtoend data and analytics solutions leveraging Azure Data Lake Azure Databricks and Data Factory
*Nice to Have:
Experience with designing scalable data analytics architecture to implement advanced analytics solutions including machine learning and AI to extract actionable insights from data.
Additional Azure Certifications like Azure ML Analytics Specialty or Azure Solutions Architect
*Responsibilities:
Design and implementation of complex cloud solutions using Microsoft Azure focusing on integration with Databricks and Azure Data Factory.
Develop and maintain scalable and efficient data pipelines and architectures.
Ensure optimal architecture and performance of applications deployed on Azure.
Provide expertise in cloud security ensuring compliance with industry standards and company policies.
Collaborate with crossfunctional teams to understand business requirements and translate them into technical solutions.
Manage the full lifecycle of data and analytics solutions from requirements gathering to deployment and maintenance.
Other responsibilities:
Conduct system troubleshooting and provide technical support as needed.
Stay updated with the latest developments in cloud technologies and introduce innovations and improvements to internal systems.
Employment Type
Full Time
