Senior DevOps Engineer (Azure, Ukraine) #15089
Capgemini Engineering
Purpose Of The Job
We consider candidates only who are located in Ukraine!!! The project consists of a platform to manage and monitor multiple types of electric equipment and components (aka Assets) installed in multiple customers sites. The main objective is to control the assets status and to prevent the need of maintenance. As a Senior DevOps Engineer at Databricks, you will be responsible for designing, implementing, and managing DevOps solutions to support the organization's data and analytics needs. This role requires extensive experience in managing Databricks on cloud platforms, Continuous Integration and Continuous Deployment (CI/CD), and infrastructure as code (IaC) solutions.
Key Responsibilities
MAIN TASKS AND RESPONSIBILITIES:
Design, develop, and implement DevOps solutions to support data integration, analytics, and business intelligence requirements using tools like Black Duck, Coverity et SonarQube.
Develop and maintain CI/CD pipelines for Databricks projects using tools like, GitHub Actions.
Collaborate with data architects, data scientists, and data analysts to understand data requirements and ensure DevOps solutions meet business needs.
Manage and optimize Databricks environments, including performance tuning, scaling, and cost management.
Implement infrastructure as code (IaC) solutions using Terraform to automate the deployment and management of Databricks resources on cloud platforms.
Perform data cleansing, transformation, and integration tasks to ensure data quality and integrity within Databricks.
Monitor and troubleshoot Databricks jobs, clusters, and workflows, and provide technical support and guidance to other team members.
Evaluate and recommend new tools, technologies, and best practices to enhance DevOps implementations and data management processes.
Develop and maintain documentation for DevOps solutions, including architecture diagrams, data flow diagrams, and technical specifications.
Stay current with industry trends, emerging technologies, and best practices in DevOps, data engineering, and data management.
Education, Skills And Experience
MUST HAVE:
5+ years of experience in software engineering, with at least 3 years of hands-on experience with Databricks.
Extensive experience in managing Databricks on cloud platforms (e.g., Azure, AWS).
Proficiency in CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
Experience with infrastructure as code (IaC) tools (e.g., Terraform).
Strong problem-solving skills and the ability to troubleshoot complex issues.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
We consider candidates only who are located in Ukraine!!! The project consists of a platform to manage and monitor multiple types of electric equipment and components (aka Assets) installed in multiple customers sites. The main objective is to control the assets status and to prevent the need of maintenance. As a Senior DevOps Engineer at Databricks, you will be responsible for designing, implementing, and managing DevOps solutions to support the organization's data and analytics needs. This role requires extensive experience in managing Databricks on cloud platforms, Continuous Integration and Continuous Deployment (CI/CD), and infrastructure as code (IaC) solutions.
Key Responsibilities
MAIN TASKS AND RESPONSIBILITIES:
Design, develop, and implement DevOps solutions to support data integration, analytics, and business intelligence requirements using tools like Black Duck, Coverity et SonarQube.
Develop and maintain CI/CD pipelines for Databricks projects using tools like, GitHub Actions.
Collaborate with data architects, data scientists, and data analysts to understand data requirements and ensure DevOps solutions meet business needs.
Manage and optimize Databricks environments, including performance tuning, scaling, and cost management.
Implement infrastructure as code (IaC) solutions using Terraform to automate the deployment and management of Databricks resources on cloud platforms.
Perform data cleansing, transformation, and integration tasks to ensure data quality and integrity within Databricks.
Monitor and troubleshoot Databricks jobs, clusters, and workflows, and provide technical support and guidance to other team members.
Evaluate and recommend new tools, technologies, and best practices to enhance DevOps implementations and data management processes.
Develop and maintain documentation for DevOps solutions, including architecture diagrams, data flow diagrams, and technical specifications.
Stay current with industry trends, emerging technologies, and best practices in DevOps, data engineering, and data management.
Education, Skills And Experience
MUST HAVE:
5+ years of experience in software engineering, with at least 3 years of hands-on experience with Databricks.
Extensive experience in managing Databricks on cloud platforms (e.g., Azure, AWS).
Proficiency in CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
Experience with infrastructure as code (IaC) tools (e.g., Terraform).
Strong problem-solving skills and the ability to troubleshoot complex issues.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
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