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Streaming Data Engineer - Remote Work | REF#299202
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Tecnología de la información
Resumen
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 remotely 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.
As a Streaming Data Engineer, you will design and build real-time data streaming systems that ensure high throughput and low-latency data processing. You will play a key role in architecting event-driven solutions that provide the organization with immediate, actionable insights from continuous data streams.
What You'll Do
Apply now!
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely 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.
As a Streaming Data Engineer, you will design and build real-time data streaming systems that ensure high throughput and low-latency data processing. You will play a key role in architecting event-driven solutions that provide the organization with immediate, actionable insights from continuous data streams.
What You'll Do
- Design, implement, and manage scalable real-time data pipelines using Kafka and Flink.
- Develop streaming applications that handle complex event processing and ensure exactly-once semantics.
- Optimize data ingestion and processing layers to maintain high performance across Spark Streaming and Kinesis.
- Collaborate with data architects to define schema evolution and data quality standards for streaming workloads.
- Monitor and troubleshoot distributed streaming infrastructure to ensure system reliability and data consistency.
- Implement security best practices for data in transit and manage multi-tenant streaming environments.
- 4+ years of experience in Data Engineering, Stream Processing, or Software Engineering.
- Proven expertise in designing and building real-time data streaming systems across various tools.
- Proficiency with core technologies including Kafka, Flink, Spark Streaming, and Kinesis.
- Deep understanding of optimizing for latency, throughput, and exactly-once semantics.
- Advanced proficiency in English.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
Requerimientos
- Disponibilidad para viajarNo