Cloud Data Engineer

Job Summary:
As a cloud engineer for Azure, you will be responsible for designing and implementing scalable, high-performance data engineering solutions using Azure Databricks and Azure Data Factory.
Job Description:
·      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 cross-functional 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.
Minimum Qualifications and Job Requirements: -
·      Bachelor's 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 end-to-end 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 Archit.