Staff Streaming Analytics Engineer

Job Description

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. Staff Streaming Analytics Engineer at BairesDev We are seeking a Staff 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 collaborate with engineering teams while delivering cutting-edge solutions for complex real-time data processing challenges. What You'll Do: - 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. - Collaborate with engineering teams on technical solutions and system integration. What we are looking for: - 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. How we make your work (and your life) easier: - 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. Join a global team where your unique talents can truly thrive and make a significant impact! Apply now!