
Addepto
Senior Data Engineer (Spark) – develop & maintain high‑performance automotive data platform, design streaming/batch pipelines, optimize workflows with Spark, Airflow, Iceberg, use AWS, write Python/Java/Scala code. Requires 5+ years Big Data experience, strong Python/Java/Scala skills, Spark, Kafka, Docker, cloud deployment, consulting & client communication, English C1, Bachelor’s, MLOps (Kubeflow/MLFlow). Benefits include medical care, glasses reimbursement, sports & language class subsidies, training funds, flexible hours, remote work options, fruits, events, no dress code, games, birthday celebration, referral program.
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
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| Opublikowana | 18 dni temu |
| Wygasa | za 12 dni |
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