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We are seeking a highly skilled Senior Data DevOps Engineer to join our remote team, working on a cutting-edge project in the financial services industry.
In this role, you will be responsible for designing, implementing, and maintaining the infrastructure and tools necessary for the development, testing, and deployment of data-driven applications. You will work closely with cross-functional teams to ensure the seamless integration of data pipelines, databases, and data analytics tools. If you are passionate about DevOps and data engineering, we invite you to apply for this exciting opportunity.
Responsibilities
- Design, implement, and maintain the infrastructure required for the development, testing, and deployment of data-driven applications
- Build, configure, and manage CI / CD pipelines using tools such as Jenkins, GitLab, or CircleCI
- Deploy and manage Kubernetes clusters for containerized applications and microservices
- Develop and maintain Docker images for data processing and analytics tools
- Configure and manage Amazon Web Services resources, including EC2 instances, S3 buckets, and RDS databases
- Automate infrastructure deployment and management using Terraform and other infrastructure-as-code tools
- Monitor and troubleshoot infrastructure issues, ensuring high availability and performance of data pipelines and databases
- Collaborate with data scientists and analysts to ensure seamless integration of data pipelines and analytics tools
Requirements
A minimum of 3 years of experience in Data DevOps, demonstrating your expertise in designing and implementing data pipelines, databases, and data analytics toolsIn-depth knowledge of CI / CD pipelines and HelmStrong experience with Kubernetes, Docker, Amazon Web Services, Linux, and TerraformFamiliarity with Elastic StackExperience with distributed data processing frameworks such as Apache Spark, Kafka, or FlinkExpertise in scripting languages such as Python, Bash, or PowerShell, allowing you to automate tasks and manage infrastructure as codeStrong interpersonal and communication skills, enabling you to collaborate effectively with cross-functional teams and stakeholdersAbility to work independently and manage multiple projects simultaneously, while maintaining a high level of performanceFluent spoken and written English at an Upper-intermediate level or higher (B2+)Nice to have
Experience with data governance and security practices, including data encryption, access control, and compliance requirementsKnowledge of machine learning frameworks and tools, including TensorFlow, PyTorch, or Scikit-learnExperience with big data technologies such as Hadoop, Hive, or PrestoFamiliarity with data visualization tools such as Tableau, Power BI, or GrafanaWe offer
International projects with top brandsWork with global teams of highly skilled, diverse peersEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInSeniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering, Information Technology, and Business Development
Industries
Software Development, IT Services and IT Consulting, and Plastics Manufacturing
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