The Careem Data and ML Platform team’s mission is to provide a platform to abstract big data complexities and enable fast, reliable and secure access to data. As a member of this team, you will be at the forefront of fulfilling this mission. You will be working with the top talent of the region, leveraging modern machine learning, big data tools and techniques to solve the region’s day-to-day problems, on top of our own in-house data platform, serving users in real-time. This role will be part of the Data processing and computation platform team, which is heavily invested in open source technologies like Apache Spark, Apache Kafka, and Apache Trino. Additionally, you will have the opportunity to contribute and collaborate with the open source community.
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What you’ll do
- Bring an innovative and creative mindset to data engineering challenges to develop a modern data platform with efficient reusable components.
- Design, architect, solution, implement and test rapid prototypes that demonstrate the value of the data and present them to diverse audiences.
- Focus on making code more efficient to run, optimizing resources across the cluster, and speeding up the compute workloads we face.
- Continuously improve our engineering processes, tests, and systems that allow us to scale the code base and productivity of the team.
- Collaborate with teams globally and operate in a fast-paced environment.
- Be responsible for creating reusable and scalable data pipelines.
Requirements
- 10+ years of hands-on experience in software development.
- Bachelor's degree in Computer Science or a related technical field.
- Strong expertise in Scala, Java, or similar programming languages.
- Proven track record of building distributed systems or working on comparable large-scale projects.
- Deep understanding of cloud-native Big Data technologies.
- Solid foundation in software engineering principles and design best practices.
- Passion for developing high-quality, maintainable, and performant software within a collaborative, high-performing global team.
- Experience with cloud control planes (AWS, GCP, etc.) or database internals, including query optimization.
- Contributions to open-source projects will be preferred.
- Experience with Docker and Kubernetes is a plus.
