
Senior Data DevOps Engineer
Há 22 horas
We are seeking a Senior Data DevOps Engineer to join our remote team, working on a cutting-edge project that involves developing and maintaining large-scale big data infrastructure.
In this role, you will play a crucial role in ensuring the reliability, scalability, and performance of our big data infrastructure. You will work closely with cross-functional teams, including data scientists, data engineers, and software developers, to deploy, operate, monitor, optimize, and troubleshoot our big data infrastructure.
Responsibilities- Develop and maintain infrastructure as code for big data components, using tools such as Terraform, Kubernetes, and Helm.
- Deploy, operate, monitor, optimize, and troubleshoot large-scale big data infrastructure, ensuring high availability, reliability, and performance.
- Collaborate with cross-functional teams, including data scientists, data engineers, and software developers, to design, implement, and maintain data pipelines and processing workflows.
- Automate data processing tasks, using shell scripts, Python, and other programming languages.
- Ensure compliance with security and data privacy policies and regulations.
- Participate in on-call rotation to provide 24/7 support for critical production systems.
- Continuously improve the performance, scalability, and reliability of our big data infrastructure, using monitoring and alerting tools.
- Provide technical guidance and mentorship to junior team members.
- At least 3 years of experience in DevOps, with a focus on data infrastructure and operations.
- Hands-on experience with big data components.
- Expertise in deploying, operating, monitoring, optimizing, and troubleshooting large-scale big data infrastructure.
- Proficient in shell scripting, Python, and SQL, with a deep understanding of data pipeline and data processing concepts.
- Experience in cloud computing platforms, such as AWS, Azure, and GCP, with a focus on cloud operations and infrastructure as code development and maintenance.
- Proficiency in infrastructure automation tools, such as Terraform, CloudFormation, CDK, and Kubernetes.
- Strong knowledge of Unix-based operating systems and networking concepts.
- Fluent spoken and written English at an upper-intermediate level or higher.
- Experience with machine learning frameworks and tools, such as TensorFlow, PyTorch, and Scikit-learn.
- Familiarity with data visualization tools, such as Tableau and Power BI.
- Knowledge of container orchestration platforms, such as Docker Swarm and Amazon ECS.
- Experience with CI/CD pipelines, using tools such as Jenkins and GitLab.
- International projects with top brands.
- Work with global teams of highly skilled, diverse peers.
- Healthcare benefits.
- Employee financial programs.
- Paid time off and sick leave.
- Upskilling, reskilling, and certification courses.
- Unlimited access to the LinkedIn Learning library and 22,000+ courses.
- Global career opportunities.
- Volunteer and community involvement opportunities.
- EPAM Employee Groups.
- Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.
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