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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.
As a Software Engineer specializing in Apache Hadoop, you will manage and develop large‑scale data solutions on Hadoop clusters. You will play a key role in designing robust data storage and processing workflows, ensuring high performance and scalability for enterprise‑level data environments.
What You'll Do
- Design, deploy, and manage production‑grade Hadoop clusters, focusing on HDFS storage and YARN resource management.
- Develop and optimize efficient data processing jobs using MapReduce and Hive to handle petabyte‑scale datasets.
- Maintain and scale the broader Hadoop ecosystem of tools to ensure seamless data integration and availability.
- Collaborate with data teams to implement best practices for data partitioning, compression, and cluster performance tuning.
- Ensure system reliability and data integrity through proactive monitoring and troubleshooting of distributed components.
What We Are Looking For
- 4+ years of experience in Software Engineering, Data Engineering, or Big Data infrastructure.
- Proven expertise in managing and developing on Hadoop clusters and HDFS storage.
- Proficiency in MapReduce and YARN processing for large‑scale data workloads.
- Hands‑on experience with the Hadoop ecosystem, including Hive.
- Advanced proficiency in English.
How We Do Make Your Work (and Your Life) Easier
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if pref
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📌 Software Engineer (Bogotá)
🏢 BairesDev
📍 Bogotá
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