Backend / Data Engineer
Hey! Are you Backend / Data Engineer in search of a next gig? Is Kafka your cup of tea, and you're interested in to join a SaaS startup with great mission on helping global eCommerce businesses to improve their profitability? In case this sounds like you, and your expertise - please read further =) !
Your customer is in search of hands-on expert with both backend and data engineering skills. In this role, the consultant will be working strongly with large amount of real time events that are streamed in Kafka and stored in ClickHouse. In the centre of consultant’s work will be to improve and maintain the system so that is allows customer to process and store huge amounts of data being available for low latency real-time analytics requests. During the duration of project, the customer is also expecting that additional streams will be added to the system.
The backbone of the MVP platform is built by another company, and they are still maintaining it with a remote team. However, the customer is now looking for new people to join to the team and take the development into new direction with improved performance and new features. That being said, the consultant will be more a an internal expert of the field at customer’s team. Even though there is existing architecture, the customer want to encourage the consultant to challenge the current setup with any improvements that can be react an MVP and help the customer to scale the product to the right direction with long term plans.
In order to success, the consultant should see themselves in these:
- 3+ years of software engineering experience
- Experience with at least a few of: Kafka, Node.Js, SQL, Kubernetes, Terraform, NoSQL Databases, Docker and AWS
- Bonus: Experience working with ClickHouse or other column-oriented database management system such as Druid
If the consultant is on top of technical skills seeing themselves in these ones, it is definitely worth to apply:
- Looking forward working with early-stage startup
- Open communication skills
- Energized by ambiguity
- Can create structure in a dynamic, fast-paced environment
Duration: The project starts as soon as right candidate is found. The length will be specified later.
Location: Remote (the customer is located in Sweden)
Will be specified later
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