60% devops & 40% data engineer role

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Job Overview

The DevOps and Data Engineer will be an integral part of our team at Akkodis, responsible for bridging the gap between development and operations while also engaging in data engineering tasks. This role entails a blend of 60% DevOps practices, ensuring seamless deployment, monitoring, and maintenance of applications, alongside 40% data engineering, focusing on data integration, management, and quality. The ideal candidate will leverage best practices in both fields to enhance the overall infrastructure while promoting scalable data solutions and continuous integration processes.

Job Responsibilities

• Design, implement, and manage CI/CD pipelines to streamline development and deployment processes.
• Automate operational tasks and build scalable, maintainable infrastructure using appropriate DevOps tools and methodologies.
• Collaborate with development teams to ensure effective integration of new features and functionalities into the existing systems.
• Develop and maintain data pipelines to ensure optimal data flow and availability for analytics and reporting.
• Monitor system performance and troubleshoot issues related to infrastructure and data operations.
• Implement data governance and quality checks to maintain integrity and usability of data across various platforms.
• Engage in capacity planning and management to ensure reliable and scalable operational environments.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in DevOps engineering and data engineering roles.
• Proficiency in CI/CD tools such as Jenkins, GitLab, or similar platforms.
• Solid understanding of containerization technologies, preferably Docker and Kubernetes.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Strong programming skills in languages such as Python, Java, or Go.
• Familiarity with data warehousing solutions and ETL processes.
• Knowledge of databases (SQL and NoSQL) and data modeling techniques.

Technologies & Tools

The DevOps and Data Engineer will utilize a broad array of technologies and tools to perform their duties effectively. Key technologies include cloud services such as AWS or Azure for infrastructure management, CI/CD tools like Jenkins and GitLab for continuous integration, and data processing frameworks such as Apache Spark or Hadoop for handling large datasets. A thorough understanding of version control systems such as Git will also be essential, as well as familiarity with container orchestration tools like Kubernetes.

Ideal Candidates

The ideal candidates for this position will possess a blend of technical skills and interpersonal characteristics essential for success in a collaborative environment. They will be proactive, innovative thinkers who are eager to tackle complex challenges across the DevOps and data management landscapes. Attention to detail, strong problem-solving capabilities, and effective communication skills are critical attributes. Furthermore, a passion for learning and staying abreast of emerging technologies will enable them to contribute effectively to Akkodis's mission of developing robust and efficient infrastructure solutions.