Data Engineer
publiée le 5/11/2026 5:52:53 PM
We’re hiring: Data Engineer. Design, build, and maintain scalable data pipelines; work with large volumes of data from multiple sources; collaborate with data scientists, analysts, and stakeholders; optimize data workflows for performance and reliability; ensure data quality through validation, testing, and monitoring. Requirements: 7+ years of experience in data engineering (data pipelines, e.g. Spark, Kafka or similar); strong SQL and database experience; proficiency in Python, Scala, or Java; experience with cloud platforms (AWS, Azure, or GCP); degree in Computer Science, Engineering, or related field. Nice to have: data modeling and database design; knowledge of DataOps, CI/CD, and automated testing; experience with big data tools (Hadoop, Hive, HBase); familiarity with Docker, Kubernetes. Benefits: relocation support and Blue Card visa support; hybrid work model with flexible hours; health & travel insurance; learning and development support, certifications; career growth; open and inclusive culture. CTA: Reach out to Iryna on LinkedIn for more details. Vilnius, Lithuania
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