Senior Data Engineer (Spark)

At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes., Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design., Hands-on with Big Data technologies like Spark, Cloudera, Kafka, Data Platform, Airflow, NiFi, Docker, and Iceberg., Excellent understanding of dimensional data and data modeling techniques., Experience implementing and deploying solutions in cloud environments., Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant., Ability to work independently and take ownership of project deliverables., Fluent English (at least C1 level)., Bachelor’s degree in technical or mathematical studies., Experience with an MLOps framework such as Kubeflow or MLFlow., Familiarity with Databricks and/or dbt.

Reimbursement for prescription glasses or contact lenses, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, remote work opportunities, flexible working time, fruits, integration events, no dress code, video games at work, birthday celebration, employee referral program