Senior Data Platform Engineer (Central Data Lake) (all genders)

Zalando

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profile Job Location:

Berlin - Germany

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

THE ROLE & THE TEAM

The Data Platform organization is providing Zalando with a reliable and secure environment for storing and processing data. We drive data engineering productivity and data security through interoperable services for data transformation storage serving exchange and orchestration as well as data access management metadata management and data discovery. Within the Data Platform organization the Data Repository team is responsible for managing the petabyte scale Data Lake and Mesh of Zalando providing pipelines and tooling to ensure security and compliance.

Find out more about our Software Engineering team here:
BY DESIGN

At Zalando our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications merit and business needs. We welcome applications from people of all gender identities sexual orientations personal expressions racial identities ethnicities religious beliefs and disability statuses. We only want to know why youre great for this role so please avoid including your picture age and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need so we can best support and assist you throughout the hiring process.

- our diversity & inclusion strategy: WED LOVE YOU TO DO (AND LOVE DOING)

WED LOVE TO MEET YOU IF

ZALANDO BENEFITS

Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.


Required Experience:

Senior IC

THE ROLE & THE TEAMThe Data Platform organization is providing Zalando with a reliable and secure environment for storing and processing data. We drive data engineering productivity and data security through interoperable services for data transformation storage serving exchange and orchestration as...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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