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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