Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000+ employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.
As enterprises worldwide become more and more invested in the cloud, Dataiku looks to expand its services and offerings to adapt to rapidly shifting customer needs. Dataiku brings together Big Data and AI technologies into a unique and easy-to-use platform. It allows data scientists to process data with SQL databases, Spark, and Kubernetes with user-friendly visual interfaces or code.
To help us fulfill this mission, we are looking for a talented full-stack software engineer to work on the Data preparation part of Dataiku and other core features of the platform. Our current technical stack is based on a mix of Java, Javascript and Python.
The mission of the Designer & OPALS teams is to maintain and improve the core features of Dataiku that are dedicated to Business Analysts & Developers, such as:
- Data preparation & integration: this includes reading from and writing to Snowflake, BigQuery, Redshift, Azure Synapse, and processing data using the latest processing engines: Spark on K8s, SQL with UDFs
- SQL workbench & Jupyter notebooks
- Integration with IDEs
- Help and onboarding experience - Plugins infrastructure
- Automation & public REST APIs
What you will be doing:
- Support new databases capabilities to read/write or process data faster
- Optimize our layout engine to be able to render flows of 1000 datasets faster
- Improve our help system to make it smarter
- Bring spatial joins and isochrone computing to the platform
- Improve dataset upload experience using A/B testing
- Add support for graphically explain plans in our SQL workbench
You are the ideal recruit if:
- You have experience in software development and are interested in data processing.
- You are "customer-oriented" you want to understand how the product is used and solve actual customer problems
- You know, Data science is 80% preparing data and 20% complaining about preparing data.
- You are curious about working 'œunder the hood' and want to learn how things are built.
- You have firsthand experience (either professional or personal) in building a real product.
- You are humble and kind.
- You don't hesitate to ask questions when you don't know, and treat your colleagues with respect, kindness, and honesty.
Dataiku's culture is right for you if:
- You want to be able to define your own version of work-life balance - flexible is our go-to word, it applies equally to remote work, vacations and parental benefits.
- You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines.
- You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more.
- You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week.
- You care about giving back - it's what our Ikig.AI program is all about: Dataikers are encouraged to work pro bono for one or several nonprofits of their choosing.
If you want to learn more about our hiring process, you can read this article about our engineering hiring philosophy.
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