Senior Data Engineer - Data Platform
Build and evolve large-scale data collection infrastructure and architectures supporting user behavior data, personalization, and recommendation systems. The role requires strong Java and SQL experience, JVM-based data processing expertise, and familiarity with cloud, Kubernetes, and modern engineering practices.
About the job
Responsibilities
- Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.
- Build systems that collect and process user behavior data at scale.
- Support personalization and recommendation systems and tools for building and testing new features.
- Design and evolve data architectures for high data volumes and diverse internal users.
- Improve the reliability, scalability, and usability of data infrastructure.
- Work across disciplines to solve complex data challenges.
Requirements
- Experience as a Data Engineer.
- Proficiency in backend development using Java.
- Experience working with large-scale datasets using SQL and BigQuery.
- Experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.
- Familiarity with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.
- Experience with data modeling and schema design.
- Commitment to high-quality code, continuous delivery, and automated testing.
- Comfort with experimentation, iterative development, collaborative software development, ambiguity, and open-ended problems.
Skills
Java, SQL, BigQuery, Apache Flink, Apache Beam, Google Cloud Dataflow, Spark, DevOps, Cloud Infrastructure, Kubernetes, Data Modeling, Schema Design, Continuous Delivery, Automated Testing
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