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Big Data Engineer (Python & SQL)

Experis AG

Posted on Oct 30, 2021 by Experis AG

Zürich, Switzerland
Immediate Start
Annual Salary

Big Data Engineer (Python & SQL)

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services ranges from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing, and placing specialised professional talent.

Brief job description:

- Develop and maintain data framework that makes the data accessible and ready for analytics

- Involved in Design and Implementation of data architecture relevant topics across the common part of the data platform

- Maintain and model JSON based schemas and metadata to re-use it across the organization (with central tools)

- Translate business requirements into data and engineering specifications

- Develop data pipelines for Data Scientists (incl. MLOps)

Required experience and skills

- Expert SQL skills, preferably in mixed environments (ie classic DWH and distributed)

- Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs

- Hands-on Big Data experience using common open source components (Hadoop, Hive, Spark, Presto, NiFi, MinIO, Docker, Kafka)

- Data preparation for reporting/analytics and visualization tools (eg Tableau, Power BI or Python based)

- 5-10 years general experience with Data Architecture/Data Engineering


- Experience in banking or financial business

- Solid Agile experience in Data related projects

- On-prem Big Data solutions

- Higher education (eg "Fachhochschule","Wirtschaftsinformatik")

- Experience in large data migration projects


- Able to communicate with Senior Management level

- Great Stakeholders Management

- Open Communicator, proactive and team player

- Good organizational skills

Interested in this opportunity- Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Danny Besse.

Reference: 1384158257

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