Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights.

We are currently searching for a Spark EKS Engineer (AWS Big Data Platform):

Responsibilities

• Administer and scale multi-petabyte Spark EKS clusters and related services on AWS.
• Perform provisioning, capacity planning, monitoring, and management of Spark EKS platforms.
• Enhance the performance of applications and middleware running on the platform.
• Troubleshoot and resolve Spark-related issues from application teams and internal clusters.
• Implement and maintain Spark, Flink, and Trino infrastructure, including monitoring, tuning, and troubleshooting.
• Improve scalability, service reliability, capacity, and performance of clusters and applications.
• Triage production issues in collaboration with operations and engineering teams.
• Conduct ongoing maintenance for large-scale global deployments.
• Write automation code for managing Big Data clusters.
• Participate in on-call rotations.

Requirements

• 5+ years of experience managing large-scale, multi-tenant Spark production clusters (1000+ nodes).
• Strong expertise in AWS services, including EMR, S3, and EKS (AWS Administrator level or higher preferred).
• Hands-on experience with Hadoop and Spark ecosystems.
• Proficiency in Python for development and automation.
• Experience with configuration management and automation tools.
• Deep understanding of Spark ecosystem and troubleshooting techniques.
• Ability to analyze logs, debug issues, and formulate solutions.
• Strong organizational skills with a focus on building, improving, and delivering results.
• Excellent communication and collaboration skills across teams.

Desired

• AWS certification in EMR or EKS cluster management.
• Experience with Flink and Trino infrastructure.
• Tools-first mindset with a focus on building tools to improve efficiency.

Education:

• Bachelor’s or Master’s degree in Computer Science or a related technical field.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote
• Location Mostly remote but need to be in any of the City (GDL, Monterrey, MX City)

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