Data Engineer
vor 1 Monat
Be our next Hero - Join the world’s leading local delivery platform.
We are on the lookout for aData Engineer (all genders) to support our Data Engineering squad at Global Discovery. At Global Discovery, we craft the central Search and Recommendation services that serve millions of customers daily in more than 60 countries around the globe.
Data is the foundation for our machine learning and AI algorithms that create truly personalized recommendations, decode our customers’ queries and intent, learn to rank our search results and create semantic matching. For this, we process terabytes of data on a daily basis in batches and streaming data pipelines, monitoring its quality, and training machine learning models.
If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin
Your mission:
As part of an experienced team, you will be responsible for designing, building, and managing batch and streaming data pipelines to enable training and running of machine learning models with a focus on quality, scalability and stability.
Work together with data analysts, product managers, backend engineers and data scientists in cross functional projects to develop the data solution, solving real customer problems.
Develop measures of data and model quality, and automated tests of the quality of data-powered features.
Navigate various data sources and efficiently locate data in a complex data ecosystem.
Qualifications
Your heroic skills:
Good understanding of Python and its ecosystem, especially oriented to data science and Machine Learning.
Strong knowledge of relational databases, data modeling and solid experience in doing data analysis and transformations with SQL
Experience with big data infrastructure on GCP or AWS
Experience with our tech stack or similar tools: Git, Docker, Airflow, dbt, MonteCarlo, Jenkins, Terraform, BigQuery, Kubernetes.
Good verbal and written communication skills in English and able to present the thoughts in a clear and structured manner.
(nice to have) Experience working with machine learning models including deep learning applications and platforms such as Pytorch or TensorFlow is a plus
(nice to have) Knowledge of Java / Scala and Spark / Flink is a plus
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