
Sophisticated Data Solutions Engineer
2 weeks ago
Job Overview:
Sophisticated data platform developers are sought to design and implement robust, scalable components that ingest, process, and persist high-frequency telemetry information.
Collaborate with experts in autonomy, data science, and distributed systems to develop large, complex applications.
- Design and build scalable components using technologies like Apache Spark, Delta Lake, Redis, MQTT, and PostgreSQL.
- Drive modernization efforts including containerization and deployment on Kubernetes.
- Integrate with S3-compatible object stores (e.g., Ceph).
- Evaluate and integrate emerging technologies (e.g., Flink, Trino, Kafka, DuckDB, Dask) to optimize performance and scalability.
- Contribute to architectural decisions involving event sourcing, CQRS, and hybrid cloud deployments.
Ideal Candidate Profile:
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.
Benefits:
Competitive salary based on degree and professional experience.
Attractive Bonus and Share options.
Career development with global prospects.
A strong commitment to safety and wellbeing.
An inclusive workplace culture focused on quality, customer service, and the environment.
A commitment to diversity and inclusion, equal opportunity, and equal outcome.
The opportunity to do meaningful work in a supportive, constructive culture.
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