Senior Data Engineer – Real-Time Streaming

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🕒 March 11

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Orbital AI

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🤖 Artificial Intelligence

👥 HR Tech

🧘 Wellness

Artificial Intelligence • HR Tech • Wellness

Orbital AI is passionate about transforming workplaces through AI innovation. They provide solutions that empower businesses to navigate health, wellness, and inclusion challenges effortlessly. Their flagship product, InclusionAI, is designed to streamline workflows, enhance well-being, and foster inclusivity, simplifying complex challenges in organizational processes.

📋 Description

• Design and implement real-time streaming data pipelines for high-volume event data. • Develop and operate distributed data processing systems using technologies such as: • Apache Flink • Apache Kafka • Apache Druid • Build scalable ingestion pipelines capable of handling millions of events per second. • Design low-latency analytical data stores for operational dashboards and real-time analytics. • Optimize data pipelines for performance, scalability, and fault tolerance. • Work with product and analytics teams to translate business needs into real-time data models. • Build and maintain data observability, monitoring, and reliability frameworks. • Implement schema evolution and data quality controls across streaming pipelines. • Contribute to data platform architecture decisions and infrastructure design. • Mentor junior engineers and promote best practices in data engineering and distributed systems.

🎯 Requirements

• 7+ years of experience in data engineering or distributed systems development • Strong experience building streaming data pipelines • Hands-on experience with at least one major streaming framework • Experience with real-time analytical databases • Experience with large-scale distributed systems • Strong SQL skills and experience designing analytical data models • Experience building fault-tolerant, highly scalable pipelines • Proficiency in one or more programming languages: • Java • Python • Experience with AWS