Revvity | About Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity.
Revvity Signals platforms aim to revolutionize scientific research by providing advanced cloud SaaS data management and dataanalytics tools to researchers and professionals in the life sciences industry.
We are seeking a talented Data Engineer to join our Revvity Signals Software team. In this role, you will be responsible for designing, building, and evolving the infrastructure, services and components required for collecting, storing and analyzing large data sets in our Signals Analytics Cloud SaaS product. You will work closely with data scientists, product owners and other stakeholders to enable new analytics features into the product.
Our platform aims to revolutionize scientific research by providing advanced cloud SaaS analytics tools to researchers and professionals in the life sciences industry.
If you are looking to join an international team of talented engineers, designers, and product managers, and contribute to delivering amazing, high-impact, customer-focused features, this is a great opportunity.
You Will:
- Architect and develop robust, scalable data analytics services in the Cloud
- Design and implement advanced data models for efficient storage and retrieval
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Implement and maintain data quality assurance processes
- Optimize data systems for performance, reliability, and cost-efficiency
- Contribute to data governance and security policies
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
- 5+ years of experience in data engineering roles
- Strong expertise big data technologies (e.g., Dask, Hadoop, Spark, )
- Advanced programming skills in (preferred) Python , Java, or Scala
- Strong knowledge of SQL and MoSQL databases (e.g., MongoDB, PostgreSQL,...).
- Extensive experience with cloud platforms (AWS, Azure, or GCP) and their data services
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of machine learning and data science concepts.
- Experience with data visualization tools and BI platforms
- Excellent problem-solving skills and ability to mentor others
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