Company provides connected car manufacturers and mobile network operators with a unique toolset for analyzing and improving the connected journey experience. Company analyzes voice and data usage patterns for all subscribers, 24/7, flagging adverse network experiences that affect subscribers and connected vehicles. Using AI and advanced Machine Learning, it correlates all the important parameters and establishes the impact of these experiences on subscribers.
We are looking for a Big Data / Data Engineer to join our growing team. In this role, you will be responsible for the design and development of our big data processing engine — a heavy ETL pipeline handling complex logic including geo-location analysis, running across both cloud and on-prem environments.
Requirements:
- 4+ years of experience in Data Engineering
- 2+ years of hands-on experience with Scala (must) or Java (optional)
- 2+ years of experience with SQL and NoSQL DBs
- Hands-on experience with Spark & PySpark (must)
- Experience with Airflow (must)
- Experience with AWS and/or GCP
- Experience with Kubernetes (k8s) and on-prem deployments
- Solid understanding of distributed systems design, pipeline architecture, and partitioning strategies
- Deep understanding of Agile principles, practices and values
- Solid understanding of design patterns, software development techniques, and clean code practices
Advantage:
- Experience with Apache Iceberg, Helm Charts, or data catalog tools
- Experience with Spring Framework
- Experience with microservice architecture
- Experience working with DevOps and CI/CD practices
- Customer-facing experience or comfort working directly with clients
- Bachelor's, BSc or Master's degree in Computer Science or Engineering from a leading academic institution
