Data Engineer

Company:
Location: Kempen

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Voor Nike ELC te Laakdal zijn we op zoek naar een Data Engineer met minimaal 3 jaar ervaring die voldoet aan volgende profielbeschrijving:

Part of the team in charge of building a data processing product (data pipeline), adopted across Nike organization, you will work closely with other Data, UI and DevOps engineers, with the Scrum Master, Product Owner, Architects and Engineering Manager, to evolve the product, but also optimize its release cycle and improve user experience.

Technology stack: AWS, PySpark, Pytest, Hive, DynamoDB, microservices, Jenkins, Docker, Kubernetes.

Responsibilities

Design, implement, test and deliver robust, scalable and reusable data processing and ETL solutions
Automate data extraction, transformation and provisioning, irrespective of type of source and target
Participate to testing activities (create own test cases, manage test data, set up environments, etc., as no test engineers present in the team)
Drive collaborative reviews of design, code, test cases and dataset implementation performed by other data engineers in support of maintaining data engineering standards
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
Mentor and develop other data engineers in adopting best practices
Represent the team as technical ambassador
Collaborates with the Data Engineering community to establish standards and best practices

Skills

Technical skills:
Last 3 years in data engineering (Python is a must)
Experienced in structured & unstructured data, data lakes
Great experience in Python Spark (have worked in the last 3 years)
Good knowledge of SQL (preferably Hive) and No-SQL (preferably Dynamo DB)
Good knowledge of scheduling and orchestration
Good knowledge of cloud platform tools (preferably Amazon Web Services – AWS)
Average knowledge of API & microservices in Python
Good GitHub knowledge
Ability to review complex big data architecture designs
Average knowledge of DevOps (Kubernetes, Docker) and good knowledge of CI/CD (Jenkins)
Good testing experience (unit test, component test, system test) with some of the most common tools in the market (PyTest, Nose, Behave, etc.)

Soft skills:
Good communication skills in English
Proactive and autonomous
Experience working in multinational and multicultural environments
Able to influence and interface with other teams and stakeholders (business or technical)
Agile Mindset, preferably with experience working in Scrum

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