Principal Streaming Analytics Engineer

Join to apply for the Principal Streaming Analytics Engineer role at BairesDev .

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 Streaming Analytics Engineer at BairesDev

We are seeking a Principal Streaming Analytics Engineer with deep expertise in real-time analytics, stream processing frameworks, event correlation, and windowing functions. The technology stack includes popular open source streaming platforms - Apache Kafka, Apache Flink, Apache Storm, and related real-time processing 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 streaming analytics systems, drive architectural decisions, and mentor engineering teams while delivering cutting-edge solutions for complex real-time data processing challenges.

• Contribute actively to streaming analytics and related open source projects as a core contributor.
• Design and optimize real-time analytics systems for high-throughput data processing.
• Architect advanced stream processing frameworks to handle complex continuous data flows.
• Lead event correlation initiatives to identify sophisticated patterns in real-time data streams.
• Drive windowing function development for complex time-based data aggregations.
• Mentor engineering teams and provide technical leadership across projects.

• 10+ years of experience in software development.
• Strong expertise in real-time analytics and streaming data processing systems.
• Deep understanding of advanced stream processing frameworks and event-driven architectures.
• Proficiency in complex event correlation techniques and pattern recognition.
• Proven experience with windowing functions and large-scale time-based data processing.
• Core contributions to Apache open source projects (Kafka, Flink, Storm, Spark, or similar).
• Advanced level of English.

• Excellent compensation in USD or your local currency if preferred.
• Paid parental leave, vacation, & national holidays.
• Innovative and multicultural work environment.
• Collaborate and learn from the global Top 1% of talent in each area.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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

Apply now!