At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Platform Engineer (Big Data) at BairesDev
As a Platform Engineer (Big Data), you will build and operate large-scale data platforms that serve as the foundation for complex analytics and processing workloads. You will act as a link between raw infrastructure and data applications, ensuring that distributed systems remain performant, secure, and reliable at an enterprise scale.
What You'll Do
Architect and maintain production-grade big data environments using the Apache Hadoop ecosystem and associated tools.
Optimize the internal performance of Spark and Kafka components to handle high-throughput and low-latency data streams.
Manage and scale distributed storage and processing engines such as HBase, NiFi, and Ozone.
Perform deep Linux system administration and tuning to ensure the stability of the underlying data infrastructure.
Implement observability and monitoring standards to proactively identify and resolve bottlenecks in distributed data systems.
Collaborate with engineering teams to define platform standards and streamline the deployment of data-driven applications.
What We Are Looking For
4+ years of experience in Platform Engineering, Big Data Engineering, or Systems Engineering.
Proven expertise in building and operating large-scale big data platforms using the Apache Hadoop ecosystem.
Proficiency in Java or Scala for developing and optimizing Spark and Kafka applications.
Hands-on experience wi