Software Engineer, Large-Scale Data Systems

What you'll do

• Build a large-scale data storage and processing system capable of handling billions of records daily.
• Design and implement data pipelines using industry-standard tools to ensure high availability and low latency.
• Develop APIs for both internal and external consumers of the platform's data.
• Migrate existing data systems from Ruby to a more scalable architecture and language.
• Define and monitor system SLAs while following SRE best practices to ensure stability.
• Sync customer product data across multiple advertising channels consistently.
• Maintain and manage large-scale data infrastructure using SQL, RDBMS, and streaming technologies.

What we're looking for

• Candidates must have 3-5 years of industry experience.
• Strong programming skills are required in Python, Scala, and/or Java.
• Experience with data processing frameworks such as Spark, Flink, Databricks, Snowflake, BigQuery, Redshift, or ClickHouse is required.
• Familiarity with streaming systems like Kafka or Kinesis is required.
• Experience with SQL and RDBMS such as PostgreSQL or Citus is required.
• Candidates must have experience contributing to large-scale data systems.
• Experience with Ruby on Rails is considered a plus.
• Ability to work in a hybrid capacity from the Helsinki office three days a week is required.