Senior Big Data System Engineer

• Operate and maintain core Global Data Platform components, including VM Servers, Kubernetes and Kafka, to ensure smooth system performance and functionality
• Manage data and analytics applications, such as Apache stack components, Dataiku, Collibra and other essential tools
• Automate infrastructure configurations, security components and CI/CD pipelines to drive efficiency and eliminate manual intervention in data pipelines
• Develop robust solutions to enhance platform resiliency, implement health checks, monitoring, alerting and self-recovery mechanisms for data operations
• Focus on improving data pipeline quality by addressing accuracy, timeliness and recency in ELT/ETL execution
• Embed Agile and DevSecOps best practices into delivery processes, ensuring iterative development and deployment of integrated solutions
• Collaborate with stakeholders like enterprise security, digital engineering and cloud operations to align on effective solution architectures
• Keep track of and evaluate emerging technologies across the Big Data ecosystem to deliver innovative features and capabilities

Do you have experience in Spark?, * Demonstrated 5+ years of experience in building or designing fault-tolerant, large-scale distributed systems, showcasing an ability to manage complex infrastructure and operations

• Mastery of distributed data technologies such as data lakes, delta lakes, data meshes, data lakehouses and real-time streaming platforms
• Expert knowledge of tools like Kafka, Kubernetes and Spark, as well as formats like S3/Parquet for scalable data solutions
• Proficiency in Python and Java programming, or alternatives such as Scala/R, coupled with adeptness in Linux/Unix scripting
• Experience in managing Docker (Harbor), VM setup/scaling, Kubernetes pod management and CI/CD pipelines
• Knowledge of configuration management tools like Jinja templates, puppet scripts and best practices in firewall rules setup
• Strong understanding of DevOps practices for scalable deployment and automation strategies
• Fluency in English is essential, German language skills are considered an asset for collaboration
• Familiarity with financial services and their unique data and regulatory challenges is an advantage

• 5 weeks of vacation
• EPAM Employee Stock Purchase Plan (ESPP)
• Enhanced parental leave
• Extended pension plan
• Daily sickness allowance insurance
• Employee assistance program
• Global business travel medical and accident insurance
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more

• All benefits and perks are subject to certain eligibility requirements

• Please note that any offers will be subject to appropriate background checks

• We do not accept CVs from recruiting or staffing agencies

• For this position, we are able to consider applications from the following:

• Swiss nationals
• EU/EFTA nationals
• Third-country nationals based in Switzerland with an appropriate work permit
• Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits