Cloud Data Integration and Interoperability Engineer (DevOps Engineer)

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Written by AI from the job title and company, not by Leidos, so some details may not match this job. The employer's own page has the real description.

Overview

The Cloud Data Integration and Interoperability Engineer at Leidos will play a pivotal role in designing, implementing, and managing cloud-based data integrations and interoperability solutions. This position involves collaborating with cross-functional teams to ensure seamless data flow and integration across various cloud platforms. The engineer will be responsible for enhancing the performance and reliability of cloud services, data pipelines, and application integrations, ensuring that the company's digital infrastructure is both robust and scalable.

Job Responsibilities

• Design and implement cloud-based data integration solutions that support business objectives and promote data interoperability.
• Collaborate with software engineering, data science, and IT teams to develop data pipelines that facilitate seamless data flow across multiple systems.
• Monitor and optimize the performance of cloud data integrations and troubleshoot any issues that may arise.
• Develop automation scripts and tools to enhance operational efficiency in deploying and managing integrations.
• Ensure data security and compliance with relevant regulations and best practices in cloud data management.
• Provide technical support and guidance to team members and stakeholders regarding cloud integration processes.
• Stay updated with emerging technologies and industry trends to continually improve integration strategies.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a DevOps Engineer, Data Engineer, or in a similar role focused on cloud integrations.
• Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data integration tools and ETL processes.
• Solid understanding of containerization technologies such as Docker and orchestration tools like Kubernetes.
• Proficient in programming and scripting languages such as Python, Java, or Shell scripting.
• Knowledge of data security practices and frameworks.
• Excellent problem-solving skills and ability to work in a collaborative environment.

Technologies & Tools

This position will primarily utilize cloud technologies and tools such as AWS (Amazon Web Services), Azure, Google Cloud Platform, and data integration tools including Apache NiFi, Talend, or Informatica. Additionally, experience with container management platforms like Docker and Kubernetes, as well as languages such as Python or Java for scripting, will be essential for automating and optimizing data workflows.

Ideal Candidates

Ideal candidates for the Cloud Data Integration and Interoperability Engineer role should possess a strong analytical mindset and exceptional technical skills to address complex integration challenges. They should demonstrate a commitment to continuous learning and adaptation in a rapidly changing technological landscape. Strong communication skills, both verbal and written, will be essential for articulating complex concepts to stakeholders who may not have technical backgrounds. Finally, the ability to work collaboratively within multidisciplinary teams while demonstrating initiative and leadership will be vital for success in this role.