
Expert in Scalable Data Systems
3 days ago
Job Overview
We are seeking a talented Data Platform Expert to join our team focused on building scalable data systems for high-frequency telemetry data.
Key Responsibilities
- Design and develop robust, scalable components for ingesting, processing, and persisting high-frequency telemetry data using Apache Spark, Delta Lake, and PostgreSQL.
- Collaborate with data scientists to host, orchestrate and optimize workloads in Python, Scala, and Java.
- Build components using technologies like Redis, MQTT, and Ceph S3-compatible object stores.
- Drive modernization efforts including containerization and deployment on Kubernetes.
- Evaluate and integrate emerging technologies to optimize performance and scalability.
- Contribute to architectural decisions involving event sourcing, CQRS, and hybrid cloud deployments.
Requirements
- Extensive experience in backend development with languages such as Java, Scala, and Python.
- Proven track record working in teams to develop large, complex applications.
- Deep understanding of streaming and batch data processing, ideally with Apache Spark or similar.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with data lake/lakehouse architectures, especially Delta Lake.
- Strong knowledge of message brokers (MQTT, Kafka) and caching systems (Redis).
- Comfortable working across multiple languages (Java, Python, Scala).
- Experience in designing systems for scalability, multi-tenancy, and hybrid deployments.
Why Work with Us?
- Be part of a forward-thinking team driving innovation in data-centric systems.
- Influence architectural direction and technology choices.
- Collaborate with experts in autonomy, data science, and distributed systems.
Working Conditions
The ideal candidate will have excellent communication skills, be able to work collaboratively in a team environment, and demonstrate a strong passion for building scalable data systems.
Skills Assessment
- Proficiency in Java, Scala, or Python programming languages.
- Experience with containerization and orchestration tools.
- Understanding of data storage and processing technologies.
- Knowledge of data visualization and business intelligence tools.
- Ability to design and implement scalable data systems.
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