Position: Data Engineer
Company: Storypoint
Category: Data Science
Experience required: 3y
English level: intermediate

WHAT YOU’LL BE DOING

- Develop new infrastructure solutions for the big-data pipelines
- Be dedicated to product quality and have excellent analytical and problem-solving skills
- Continuously design, develop and deploy backend services
- Focus on high availability, low latency, and scalability
- Contribute your analytical abilities
- Enthusiastically research new methods for doing things
- Provide solutions to challenging problems

WHAT YOU HAVE

- 4+ years of experience in Java/Kotlin or similar
- Experience with MQ like Kafka, AWS SQS, RabbitMQ, Google Cloud Pub/Sub, or other
- Experience in microservices architecture for high-scale, high-performance systems
- Understanding of data integration tools, ETL/ELT processes, data - formatting, and warehouse architecture
- Experience in building and optimizing big-data pipelines and architectures like Apache Beam, Spark, Flink, DataFlow, or other
- Experience with cloud data warehouses BigQuery, Redshift, Azure, Snowflake, or other
- Experience with relational databases such as MySQL
- Experience with cloud platforms GCP/AWS
- Computer science degree from a leading institute
- Independent, fast learner, motivated by a fast-paced, high-growth environment
- High level of English - both written and verbal.

WHAT WOULD BE A BONUS

Experience with Elasticsearch
Fundamentals in Reactive Programming
Experience with the Google Cloud Platform services like BigQuery, Dataflow, Pub/Sub
Experience with Redis
Contributing to an open-source project