Data Platform DevOps Engineer

• Design, deploy, and maintain scalable cloud infrastructure on AWS to support data processing and analytics workloads.
• Databricks Platform Operations
  • Configure, manage, and optimize Databricks environments for efficient execution of data pipelines and analytical processes.
• Build and maintain Jenkins-based pipelines to automate build, test, and deployment processes across data and application services.
• Automation & Scripting
  • Develop Python and shell scripts to automate repetitive tasks, improve workflows, and enhance operational efficiency.
• Collaborate with data teams to ensure reliable deployment, execution, and monitoring of data pipelines in production environments.
• System Monitoring & Alerting
  • Implement monitoring solutions and alerting mechanisms to ensure system health, performance, and availability.
• Performance Optimization
  • Analyze system performance and optimize infrastructure, pipelines, and workloads for scalability and cost efficiency.
• Security & Compliance Implementation
  • Apply security best practices and ensure infrastructure and processes comply with organizational and regulatory standards.
• Maintain consistent configuration across development, testing, and production environments using automated tools.
• Diagnose and resolve infrastructure, deployment, and runtime issues in distributed cloud-based systems.
• Cross-Functional Collaboration
  • Work closely with data engineers, developers, and stakeholders to align infrastructure solutions with business needs.
• Documentation & Knowledge Sharing
  • Create and maintain clear technical documentation for infrastructure, pipelines, and operational procedures.

Requirements

• AWS Expertise
  • Strong hands-on experience with AWS services, including compute, storage, networking, and identity management components.
• Databricks Experience
  • Practical experience working with Databricks for managing data processing environments and executing data workloads.
• Experience designing and maintaining Jenkins pipelines for continuous integration and continuous deployment processes.
• Solid understanding of DevOps principles, including automation, infrastructure as code, and continuous delivery practices.
• Python Knowledge
  • Working knowledge of Python for scripting, automation, and supporting data-related processes within cloud environments.
• Strong proficiency in Linux systems, including command-line usage, shell scripting, and system administration basics.
• Experience with monitoring tools and logging systems to track system performance and troubleshoot issues effectively.
• Problem-Solving Skills
  • Ability to analyze complex systems, identify root causes, and implement effective solutions in distributed environments.
• CI/CD Best Practices:
  • Understanding of version control, automated testing, and deployment strategies within modern DevOps workflows.
• Data Workflow Understanding
  • Familiarity with data pipelines, ETL processes, and challenges related to large-scale data processing systems.
• Ability to work effectively with cross-functional teams and communicate technical concepts to diverse stakeholders.
• Agile Experience
  • Experience working in Agile environments, delivering tasks iteratively and adapting to changing requirements.

What we offer

• B2B Contract
  • Employment based on a B2B contract
• Stable and Dynamic International Firm
  • Opportunity to work in a stable, dynamically developing international company
• Engaging Projects and Latest IT
  • Chance to participate in interesting projects and work with the latest information technologies
• Competitive Rates
  • Attractive remuneration rates offeres
• Renowned International Projects
  • Involvement in the most prestigious international project
• MultiSport and Private Medical Care
  • MultiSport and Private Medical Care

Nice to have

• Streaming/Data Tools Exposure
  • Familiarity with data streaming or messaging systems used in data pipeline architectures.

Work with us

Apply & join the team

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