Dataiku
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
Data Science • Machine Learning • Data Science Platform • Collaborative Data Science • End-to-End Data Science Platform
1001 - 5000 employees
💰 $400M Series E on 2021-08
Technical Support Engineer
March 7
Dataiku
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
Data Science • Machine Learning • Data Science Platform • Collaborative Data Science • End-to-End Data Science Platform
1001 - 5000 employees
💰 $400M Series E on 2021-08
📋 Description
• At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). • We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment. • You will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. • You will also collaborate with various internal teams to solve and escalate customer issues as needed.
🎯 Requirements
• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product • Experience with cloud platforms such as AWS, Azure, and GCP • Experience with Docker and Kubernetes • Collaborative and helpful mindset with a focus on always working as a team • A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors • Proficiency working with Unix-based operating systems • Experience with relational databases (or data warehouses like Snowflake) and SQL • Ability to read and write Python or R code • Experience with big data technologies, such as Hadoop or Spark • Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos • Experience with ML models and LLMs
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