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Senior Data EngineerCrealyticsUnited States

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XX

Senior Data Engineer

Crealytics
  • US
    United States
  • US
    United States

About

Please apply using the following URL:
https://crealytics.jobs.personio.de/job/2553071?apply
Role & responsibilities
You build analytical data products and provide valuable insights to business stakeholders in innovative leading e-commerce brands.
Design and deploy features for our cloud-based Data Lake and our Customer Lifetime Value (CLV) product in an agile, test‑driven environment. Design schemas and datalakes and datamarts.
Build scalable data‑processing pipelines in the cloud using technologies like Apache Spark, Hive, BigQuery, micro‑services, Kubernetes.
You use Python and SQL to analyze digital marketing performance.
Preferred candidate profile
5+ years of data engineering and development experience.
Passionate about data with a strong ability to learn new technologies.
You have successfully completed a degree in computer science, software engineering or applied statistics or similar.
Proficient in Python and ideally in one of the following programming languages: Scala, Ruby, GoLang.
Advanced experience with Google cloud platform, BigQuery and SQL.
Familiarity with big data technologies like Spark and Hive, event‑driven architectures (e.g. Pub/sub, Kafka).
Experience with infrastructure‑as‑Code (IaC, e.g. Terraform) tools is a plus.
You are familiar with building data foundations, Data lakes and datamarts to be used in analytical dashboards.
Optional: You have experience in digital marketing, marketing attribution and ad platforms APIs, e.g. Google ads API and Bing API.
Optional: Machine learning, interest in AI, familiar with statistical A/B testing, design of experiments.
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  • United States

Languages

  • English
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