Principal Streaming Analytics Engineer

Bairesdev S.A.
Spain
28 days ago
Apply on es.trabajo.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
10 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Apache HTTP Server Data Systems Open Source Technology Pattern Recognition Software Engineering Data Streaming Data Processing Apache Spark Event Driven Architecture Information Technology Apache Flink Real Time Data
+4 more
Apache Kafka Free and Open-Source Software Stream Processing Stream Analytics

Job description

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. 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. - Mentor engineering teams and provide technical leadership across projects. What we are looking for - 10+ years of experience in software development.

Requirements

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. Details - Seniority level: Mid-Senior level - Employment type: Full-time - Job function: Information Technology -

About the company

Overview 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on es.trabajo.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:09 min

Evaluating mature stream processing frameworks for production systems

Soroosh Khodami Soroosh Khodami · World Congress 2024

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:55 min

Infrastructure challenges when combining Kafka with Apache Flink

Bobur Umurzokov · LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · World Congress 2024

Videos

See all

Related articles

See all