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Big Data Engineer
You will:
- Develop new data pipelines and maintain our data ecosystem, focusing on
- tolerant ingestion, storage and data lifecycle, and the computation of metrics, reports and derived information - Communicate efficiently with your
- mates in order to develop software and creative solutions for our customer needs. - Write
- quality, reusable code, test it, and bring it to production - You are familiar with applying best practices according to industry standards whilst promoting a culture of agility and excellence.
Requirements
- Several years of experience developing in a modern programming language, preferably Java and Python
- Significant experience with developing and maintaining distributed big data systems with production quality deployment, and monitoring
- Exposure to
- performance data pipelines, preferably with Apache Kafka & Spark - Experience with scheduling systems such as Airflow, and SQL/No
SQL Databases - Experience with cloud data platforms is a plus
- Exposure to Docker and/or Kubernetes is preferred
- Good command of spoken and written English
- University degree in computer sciences or equivalent professional experience.
Benefits
- Challenging projects in a highly professional, but also collaborative and supportive environment
- Working in small and excellently skilled teams
- Opportunities for your continuous professional development
- Competitive compensation depending on experience and skills
- Private Health Insurance options for you and your family members
- Meal vouchers
- Hybrid and Remote work options, with provided parking for office commuters
- Service Recognition Awards, our way of celebrating and rewarding
- term contributions - Awesome Referral Bonus Program, because great people know great people
- Team gatherings and
- building activities to foster connections, a sense of belonging and camaraderie.
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