Data Infrastructure Engineer [Talents Bench]

Metal Toad; São Paulo; Presencial; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

Metal Toad is seeking a highly technical Data Infrastructure Engineer to build robust, scalable data platforms using open source technologies. You will deploy and manage data OSS such as Trino, Spark, Pinot, and Druid within a well-architected Amazon EKS environment.

You will tackle high-risk infrastructure challenges across diverse customer environments, delivering production-ready, open-source solutions while collaborating as a subject-matter expert in cloud-native data tooling.

Qualificações

• Advanced to fluent English communication required.
• Deep expertise in Kubernetes and Amazon EKS.
• Proficiency in Terraform, Helm, Docker, and Karpenter.
• Experience deploying Data OSS like Trino, Spark, Pinot, Druid.
• Familiarity with Data Lakes, Spark, and Hive architectures.
• Willingness to work with non-AWS and broad Open Source ecosystems.
• Strong problem-solving in complex customer environments.

Responsabilidades

• Architect and deploy Open Source Data OSS on Amazon EKS.
• Hands-on development with IDEs, Git, and IaC practices.
• Navigate complex customer landscapes to propose bespoke solutions.
• Design and implement high-risk, novel infrastructure solutions.
• Act as SME in Open Source tech ensuring production-ready builds.

Conhecimentos

Open Source Enthusiast

Cloud-Native

English Communication

Kubernetes/EKS

Data OSS

Ferramentas

Kubernetes/EKS

Terraform

Helm

Docker

Karpenter

Trino

Spark

Pinot

Druid

Descrição da oferta de emprego

About Metal Toad

Metal Toad is an Advanced AWS Consulting Partner that empowers organizations to innovate through artificial intelligence, cloud migration, cost optimization, and application modernization. We help our customers with their cloud adoption by providing architecture, migration, optimization, machine learning, and even 24/7 support. We are a professional services firm providing services in software engineering and the cloud. We do Technical consulting, Programming & Quality Assurance, DevOps, Applications, UX, Product management, and Project management.

Job Description

We are looking for a highly technical, hands-on Data Infrastructure Engineer to join our team. This is not a standard Data Engineering role; instead, you will focus on building robust, scalable Data Infrastructure platforms using Open Source software. Your primary mission is to deploy and manage high-performance data technologies—such as Apache Pinot, Apache Druid, and Trino—within a well-architected Amazon EKS environment.

You will work on pioneering, high-risk technical solutions, navigating complex customer environments to deliver cutting-edge infrastructure that pushes the boundaries of standard implementations.

Responsibilities

Key Responsibilities

• Infrastructure Implementation: Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS.
• Hands-on Development: Maintain a 100% hands-on approach, utilizing IDEs, Git, and strict coding best practices to manage infrastructure as code.
• Problem Solving: Navigate complex customer hierarchies and technical landscapes to identify, propose, and implement bespoke solutions.
• Pioneering Work: Design and implement novel, high-risk solutions that have not been previously established.
• Collaboration: Act as a subject-matter expert in Open Source technologies, ensuring all builds are well-architected and production-ready.

QUALIFICATIONS REQUIRED

• Agree with our Corporate Values Statement.
• Believes in the company's mission: to help people.
• Believes in the principles of open source.
• Advanced to fluent English communication skills are essential for this role.
• Kubernetes/EKS: Deep expertise in Kubernetes and Amazon EKS is a must-have.
• Core Infrastructure Tooling: Proficiency in Terraform, Helm, Docker, and Karpenter.
• Data OSS Expertise: Minimum rating of 3 (on a 5-point scale) in deploying and managing Data OSS software, including Trino, Spark, or Pinot.
• Data Foundations: Strong familiarity with Data Lakes, Spark, and Hive architectures.
• Versatility: A demonstrated willingness to work with non-AWS and broad Open Source ecosystems.
• Soft Skills: High comfort level engaging with complex customer environments and an aptitude for high-stakes technical troubleshooting.

NICE TO HAVE

• Prior hands-on experience working with Fruitstand.
• Demonstrated history of contributing to or managing complex open-source projects in production environments.