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Technical Support Engineer

Dataiku

Dataiku

IT, Customer Service
Germany · Remote
Posted on Saturday, September 16, 2023

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.

Dataiku is looking for an experienced Technical Support engineer to join its rapidly growing international team (with members distributed across the US, EMEA, and APAC regions). The ideal candidate is an autonomous individual who is passionate about getting big data and data science technologies working together to solve business problems, and who will efficiently help customers solve their technical issues with Dataiku DSS. It is a great opportunity to join Dataiku early on and help scale that critical function for the company.

As a Technical Support Engineer, you are a polished communicator and a trusted technical resource. You have worked with sophisticated/demanding customers, and you demonstrate excellent judgment in prioritization and are a multi-tasker. You love learning new cutting-edge technologies and getting your hands dirty to solve challenging technical problems. You are naturally driven to become the expert in the space.

Responsibilities:

  • Providing technical solutions and responding to technical requests from customers through our different channels: mail, chat, web conference, and support portal
  • Managing and resolving support issues with a high degree of technical complexity
  • Acting as a liaison between clients and other Dataiku teams (Customer Success, Engineering, Data Science, etc.) to help deliver a fast and efficient resolution to issues or questions raised from various customersImprove efficiencies by documenting and standardizing support processes for our customers along with capturing/developing best practices
  • Developing tools that will help in diagnosing, resolving or triaging hard-to-get-at problems as efficiently and promptly as possible
  • Documenting knowledge in the form of incident notes, technical articles, and contributions to knowledge base or forums within specific areas of expertise
  • Timely follow-up on customer commitments, effectively prioritizing process / product refinements; relaying lessons learned and feedback internally to our other client-facing and technical teams

Requirements:

  • BS in an Engineering or advanced analytics field, or equivalent practical experience
  • A strong competency in technical problem solving, with experience in working with advanced log analysis and various debugging techniques
  • Working proficiency with Unix-based operating systems and general systems administration knowledge (i.e. command line interface, SSH, handling permissions, file limits, networking, resource utilization, etc.)
  • Experience working with a programming language, preferably Python
  • Experience working with at least one type of relational database and SQL
  • At least 3-5 years of experience minimum in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
  • Technical understanding of the analytics and big data technologies (Hadoop, Spark, SQL databases and Data Warehouses)
  • Excellent problem solving and analytical skills with an aptitude for learning new technologies
  • Ability to be autonomous, resourceful, and a proactive self-starter, while also remaining process-oriented and a team player
  • Strong communication skills and the ability to interface both with technical and non-technical individuals as needed

Nice to haves…

  • Prior experience with and demonstrated interest in staying up to date on the latest data technologies (Python, R, Hadoop, Jupyter notebooks, Spark, H2O, Docker/Kubernetes, etc.)
  • Hands-on experience with Python and/or R
  • Experience working with various APIs
  • Experience with authentication and authorization systems like LDAP, SAML, and Kerberos
  • Working knowledge of various cloud technologies (AWS, Azure, GCP, etc.)
  • Some knowledge in data science and/or machine learning

Benefits:

  • Competitive compensation package, equity, health benefits, and paid vacation
  • Opportunity to work with a smart, passionate and driven team
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness
About Dataiku:
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com