Cloud Data Integration and Interoperability Engineer (DevOps Engineer)

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Job Overview

The Cloud Data Integration and Interoperability Engineer (DevOps Engineer) at Leidos will play a crucial role in developing and maintaining cloud-based platforms that facilitate effective data integration and interoperability. The selected candidate will design and implement scalable solutions to optimize data workflows and ensure seamless communication between diverse systems. This position requires a strong understanding of cloud architecture, DevOps principles, and data management practices to drive operational excellence and enhance the capabilities of our data-driven initiatives.

Job Responsibilities

• Design, implement, and maintain cloud-based data integration solutions to support business objectives.
• Collaborate with cross-functional teams to define data workflows and integration requirements.
• Automate deployment processes while ensuring consistent environments across development, testing, and production stages.
• Monitor system performance and troubleshoot issues in the data integration pipeline.
• Develop and execute scripts to automate repetitive tasks and enhance operational efficiency.
• Ensure compliance with industry standards and best practices in cloud operations and data management.
• Conduct regular system audits and risk assessments to identify potential vulnerabilities.
• Stay abreast of emerging trends and technologies in cloud computing and data integration.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in cloud data integration and DevOps practices.
• Proficiency in scripting languages such as Python, Bash, or JavaScript.
• Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data integration tools and technologies (e.g., Apache NiFi, Talend, Informatica).
• Solid understanding of containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving skills and attention to detail.
• Effective communication skills and ability to work collaboratively in a team-oriented environment.

Technologies & Tools

The Cloud Data Integration and Interoperability Engineer will primarily work with an array of technologies and tools. These include cloud platforms (AWS, Azure, Google Cloud), data integration tools (Apache NiFi, Talend, Informatica), automation and orchestration tools (Jenkins, Ansible), and containerization technologies (Docker, Kubernetes). Proficiency in programming and scripting languages such as Python and Bash is also essential for developing automated solutions and maintaining efficient workflows.

Ideal Candidates

Ideal candidates for this position will exhibit a blend of technical expertise and soft skills that foster collaboration and innovation. They will be highly analytical, demonstrating the ability to problem-solve complex issues with creativity and precision. A continuous learning mindset is vital, as the candidate should be proactive in seeking knowledge about emerging technologies and industry trends. Additionally, the candidate should possess strong interpersonal skills, enabling effective communication and cooperation within a diverse team environment while maintaining a commitment to operational excellence and quality assurance.