Join our team where you can expect fully automated Data Platform based on Data Mesh principles with streaming (Kafka) in its core. Our goals are the following: enable Data Domains with easy-to-use tools and automated processes, empower Data Ownership, Data available everywhere, self-serve, Data security by design, Data Governance. To help the organization to have the same understanding of the business and also remove data isolation. To create a source of truth with trusted data, to speed-up discovery using data, to speed-up data science and analytics activities.
This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody.
Your responsibilities:
- Design, implementation and maintainance of our Data Platform infrastructure using technologies such as Kafka, Kafka Streams, Terraform and JVM languages
- Collaborate with stakeholders to gather requirements and translate them into technical specifications
- Develop and maintain CI/CD processes to automate deployment and testing of data platform components
- Troubleshoot and resolve technical issues in production environments
- Stay updated on emerging trends and best practices in data engineering and architecture
Software/Hardware
- Mac/Dell laptop
- Windows/macOS system
- 2 monitors (24",27",32")
- Adjustable desks
- Slack+Teams
- Atlassian tools
- JIRA, Confluence
Requirements
- High proficiency in programming languages such as Java and optionaly Scala
- Solid understanding of distributed systems and event-driven architectures
- Proven experience and deep understanding of Apache Kafka
- Experience with AWS cloud platforms and infrastructure-as-code tools: Terraform, also knowledge of containerization and orchestration tools (e.g. Docker)
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
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StepStone
At The Stepstone Group, weβ―help everyone get the job that best fits their life.β―Whether it is the next step in their career, or a job to pay the bills - we exist to match lifestyles with livelihoods.
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