Staff Streaming Analytics Engineer

Year    KA, IN, India

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!

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Job Detail

  • Job Id
    JD4367986
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KA, IN, India
  • Education
    Not mentioned
  • Experience
    Year