We are looking for a Senior Data Engineer who will participate in refactoring, redesigning, and improving the data platform, as well as participate in the development of new projects.
— 5+ years of experience in Data Engineering/Software Engineering/Database Development
— Strong understanding of business, customer, product, and clickstream analytics, recommendations and personalization, A/B testing
— Database proficiency: experience with both relational and NoSQL databases
— Understanding of ETL and data curation
— Hands-on experience working with large data sets
— Proficiency with Scala and Java (and JVM ecosystem in general)
— Strong understanding and experience:
— MapReduce systems: Hive, Hadoop
— Spark, Spark SQL, and Spark Streaming
— Kafka ecosystem (Kafka Connect / Kafka Streams)
— Workflow/job scheduling systems (Apache Airflow)
— Distributed query execution engines (e.g., Presto)
— Service-based architectures and containerization
— AWS (EMR, S3)
— Upper-Intermediate English level
— Database/Data Warehousing background
The fully remote long-term contract, flexible hours, and a high level of compensation.
— Work with the Data Engineering team to refactor, redesign, and improve the data platform
— Support architectural initiatives to improve reliability, resiliency, stability, and data quality
— Participate in the development of new projects
— Build ETL pipelines using Kafka/Spark/Hive
— Monitor the health of our system and optimize for performance and cost savings
— Support daily ETL jobs monitoring and participate in correcting any issues that arise
— Develop unit and integration tests
IMVU is an online metaverse and social network. IMVU had over four million active users in 2014. The current number of active players is 6M+, and the site has a virtual goods catalog of more than 40 million items.
We are creating the next generation of VR social networks, based on a distributed, service-mesh-type architecture with underlying Java, MongoDB, GODOT engine, and other technologies, deployed via Kubernetes onto AWS and Google infrastructure.
We have a team in California and in Kyiv, Ukraine.