
Chief Data Architect
2 weeks ago
About the Role
Career Area: Engineering, Technology
As a senior software engineer, you will play a pivotal role in transforming our legacy Java Spring Boot monolith into a cutting-edge, cloud-native architecture.
This entails designing and implementing robust, scalable components for ingesting, processing, and persisting high-frequency telemetry data. You will work closely with data scientists to host, orchestrate, and optimize workloads in Python, Scala, and Java.
You will leverage technologies like Apache Spark, Delta Lake, Redis, MQTT, and PostgreSQL to build innovative solutions.
Key Responsibilities
Design and implement large-scale data pipelines using Apache Spark.
Collaborate with cross-functional teams to develop and deploy containerized applications.
Implement data lake/lakehouse architectures using Delta Lake.
Requirements
Extensive experience in backend development with languages such as Java, Scala, and Python.
Proven track record working in agile teams to develop complex applications.
Deep understanding of streaming and batch data processing, ideally with Apache Spark or similar.
Experience with containerization (Docker) and orchestration (Kubernetes).
Desirable Skills
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.
You should be comfortable with coding, testing, and debugging in an Agile environment. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for success in this role.
If you have a passion for building scalable and efficient data systems, we encourage you to apply for this challenging opportunity.
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