Data Engineer designing and implementing big data solutions at DATAIS. Collaborating with clients to deliver actionable business insights and innovative data products in a hybrid environment.
Responsibilities
- Design efficient services to collect, process, and store petabytes of data, ensuring high scalability and performance.
- Challenge the status quo by redesigning and unifying multiple inherited data pipelines, driving the transition to a streamlined, harmonized data architecture.
- Lead large-scale projects that involve complex systems and cutting-edge technologies, driving impactful changes across the organization.
- Develop innovative data formats and exchange mechanisms that optimize functionality while minimizing costs and maximizing performance.
- Share knowledge and increase the team's expertise by introducing new ideas and mentoring fellow engineers.
- Contribute to the continuous evolution of the primary data pipeline, addressing growing data volumes and functional requirements.
- Collaborate closely with cross-functional teams to ensure data solutions align with the organization's strategic goals.
Requirements
- With a minimum 4-5 years of experience, you have a good grasp of the fundamentals of computer science.
- You have worked with dynamic complex systems in a rich ecosystem with lots of integrations.
- You have hands-on experience tackling large-scale data challenges, focusing on scalability, low-latency processing, and fault-tolerant system design.
- You have experience with cloud providers such as AWS and Azure, with a comfort in writing infrastructure as code.
- You have strong communication skills, with the ability to collaborate effectively in a team environment on-site but also in async with people around the world.
- You have the ability to thrive in a flat team structure, actively contributing to solving technical challenges alongside peers.
- You are proactive, full of ideas, with a critical yet constructive attitude and a positive approach to bringing thoughtful input.
- Nice to have:
- Proficiency in Go and/or Scala
- Experience with ClickHouse and/or SingleStore
- Experience with Kubernetes
- Experience using Kafka
Benefits
- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
- Work flexibility: hybrid and remote work policies
- Generous paid time-off policy (every location is different)
- Immediate eligibility for birthing and non-birthing parental leave
- Wellbeing and Home Office allowances
- A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work
- Every full-time employee receives stock options, allowing them to share in the company’s success
- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
- And more benefits tailored to each country
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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