Location: Ukraine
Our client is looking for an experienced Senior Data Engineer to lead the design and development of scalable data solutions and contribute to the growth of a modern data platform. The team builds complex systems for batch and streaming data processing, real-time pipelines, and data governance, with a focus on automation, reliability, and scalability.
Design and develop distributed data pipelines and services.
Work on both batch and real-time data processing.
Contribute to architecture design (HLD, SDD) and ensure quality implementation.
Lead SCRUM ceremonies, drive backlog refinement, and provide estimates.
Collaborate with cross-functional teams to deliver high-quality solutions.
Debug, test, and optimize data pipelines in production.
Mentor team members and contribute to innovative architecture decisions.
5+ years of experience as a Data Engineer or Java/Scala Developer.
Strong knowledge of Spark (batch & streaming), Kafka, SQL/NoSQL.
Experience with Hadoop ecosystem (HDFS, Hive, Parquet, etc.).
Solid Linux and scripting (bash) experience.
Familiarity with modern development practices (CI/CD, unit testing, Agile/SCRUM).
English: Advanced (C1).
Knowledge of Kubernetes, Docker, Airflow, DeltaLake, DataMesh.
Experience with Redis, Vertica, Aerospike, Data Warehousing.
Strong Python skills.
Join the Znoydzem community.
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