Spark EKS Engineer
Spark EKS Engineer
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Job Description
Our client represents the connected world offering innovative and customercentric information technology experiences enabling Enterprises Associates and Society to Rise .
They are a USD 6 billion company with 163000 professionals across 90 countries helping 1279 global customers including Fortune 500 companies. They focus on leveraging nextgeneration technologies including 5G Blockchain Metaverse Quantum Computing Cybersecurity Artificial Intelligence and more on enabling endtoend digital transformation for global customers.
Our client is one of the fastestgrowing 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 multipetabyte 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 Sparkrelated 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 largescale global deployments.
- Write automation code for managing Big Data clusters.
- Participate in oncall rotations.
Requirements
- 5 years of experience managing largescale multitenant Spark production clusters 1000 nodes).
- Strong expertise in AWS services including EMR S3 and EKS (AWS Administrator level or higher preferred).
- Handson 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.
- Toolsfirst 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)
If you meet these qualifications and are pursuing new challenges Start your application to join an awardwinning employer. Explore all our job openings Sequoia Career s Page: Requirements : Responsibilities
Sparks Aws Big Data
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Full-time
