Big Data Engineer (Java & Hadoop) - Remote Work
Descrição da vaga
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.
Big Data Engineer (Java & Hadoop) at BairesDev
As a Big Data Engineer, you will build and maintain large-scale data processing platforms that turn massive datasets into reliable assets. You will focus on throughput, stability, and data quality.
What You'll Do
- Design and implement distributed data processing pipelines for large volumes of data.
- Develop batch jobs that transform and aggregate raw data into analytics-ready datasets.
- Optimize cluster resources and job performance to keep processing costs under control.
- Monitor pipeline health and troubleshoot failures in production environments.
- Partner with data scientists and analysts to understand data needs and deliver usable outputs.
- Document data flows and promote best practices for data governance.
- 4+ years of experience in big data engineering.
- Proven expertise building data processing applications in Java.
- Hands-on experience with the Hadoop ecosystem, including HDFS and MapReduce.
- Solid understanding of distributed computing, data modeling, and ETL design principles.
- Advanced proficiency in English.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
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