Technical Support Engineer
Dataiku
This job is no longer accepting applications
See open jobs at Dataiku.See open jobs similar to "Technical Support Engineer" Dawn Capital LLP.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
This job is no longer accepting applications
See open jobs at Dataiku.See open jobs similar to "Technical Support Engineer" Dawn Capital LLP.