- real impact on the development of modern technologies using AI and Machine Learning
- opportunity for professional development in the highly exciting automotive industry
- extremely comfortable working environment where your commitment is constantly appreciated
- acquiring valuable knowledge by participating in developing and future global projects
- attractive annual bonus
- remote work with occasional need to be present in the office
- employment contract
- design and implementation of a roadmap for building and optimizing data products to deliver the most accurate data
- technical mentoring within the data engineering department and across the entire company
- building a data platform for storing, managing, and processing data at scale, including scheduling and libraries
- leading the design and optimization of data pipelines within descriptive analytics, data science, and machine learning
- designing scalable data models
- collaborating with the global data management team to implement data privacy compliance under GDPR and CCPA
- continuously improving reliability, performance, scalability, and quality
- continuously updating knowledge of evolving Big Data technology, sharing knowledge throughout the organization by enabling best practices, standards, managed processes, and relevant technologies.
- several years of experience in data engineering and software development, including building and maintaining production data applications
- expert knowledge of Scala, Python, SQL, Scala, and Spark
- higher education in technical fields such as Statistics, Computer Science, Physics, Engineering, etc.
- familiarity with one (or more) functional languages, such as F#, Scala, or Haskell
- experience working with cloud-based Big Data platforms, such as Spark, Google BigQuery, Azure Data Warehouse, etc.
- expert knowledge of time series databases, data streaming applications, Kafka, Flink, and more
- extensive experience with workflow management engines, such as Airflow, Luigi, Azure Data Factory, etc.
- familiarity with Hive metastores, continuous integration tools like Jenkins, creating containerized applications using Docker, and running them on Kubernetes
Agencja zatrudnienia – nr wpisu 47
ta oferta pracy przeznaczona jest dla osób powyżej 18 roku życia
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