Principal Trino / PrestoDB Engineer

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 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.

Principal Trino / PrestoDB Engineer at BairesDev

We are seeking a Principal Trino / PrestoDB Engineer with deep expertise in distributed query engines, SQL federation, connector architecture, and query optimization technologies. The technology stack includes popular open source query engines - Trino, PrestoDB, Apache Hive, Impala, and related big data technologies. Thus, there is ample scope for collaboration and contribution to open source. The ideal candidate will lead the design and optimization of high-performance distributed query systems, drive architectural decisions, and mentor engineering teams while delivering cutting-edge solutions for complex data processing challenges.

What You'll Do :

• Contribute actively to Trino / PrestoDB and related open source projects as a core contributor.
• Design and optimize distributed query engines for high-performance data processing.
• Architect SQL federation solutions to enable seamless cross-platform data querying.
• Lead connector architecture development for diverse and complex data sources.
• Drive advanced query optimization initiatives to maximize system performance.
• Mentor engineering teams and provide technical leadership across projects.

What we are looking for :

How we make your work (and your life) easier :

Join a global team where your unique talents can truly thrive and make a significant impact!

Apply now!

Skills Required

Data Processing, Impala, Query Optimization, Apache Hive