Principal Streaming Analytics Engineer

TL;DR

Principal Streaming Analytics Engineer: Designing and optimizing high-performance real-time streaming analytics systems using Apache Kafka, Flink, and Storm with an accent on event correlation and windowing functions. Focus on architecting advanced stream processing frameworks, contributing to open source projects, and mentoring engineering teams.

What you will 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.
• Mentor engineering teams and provide technical leadership across projects.

Requirements

• Advanced level of English required.
• 10+ years of experience in software development.
• Strong expertise in real-time analytics and streaming data processing systems.
• Proficiency in complex event correlation techniques and pattern recognition.
• Core contributions to Apache open source projects (Kafka, Flink, Storm, Spark, or similar).

Culture & Benefits

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