Software Engineer, Big Data

What you'll do

• Translate stakeholder requirements into scalable engineering solutions.
• Drive the architectural vision to support future growth and opportunities.
• Design, build, and maintain data pipelines and datasets for key product features.
• Ensure data privacy is protected throughout the data pipeline lifecycle.
• Own data quality, scalability, and SLAs for assigned datasets and pipelines.
• Contribute to best practices, documentation, and shared tools to solve common problems.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience.
• 6+ years of experience building production systems using Java and/or Scala.
• Strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms.
• Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka.
• Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes, and Airflow.
• Proven track record of designing, launching, and scaling production-quality data pipelines that power product features.
• Strong data intuition, backed by solid SQL and data analysis skills.
• Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly.
• Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively (preferred).