A remote Data & ML role at Dataiku.
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Original listing text, shown exactly as published by the company.
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
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Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
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Develop engineering expertise within Snowflake for data engineering and security/governance features
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Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
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Build & maintain data quality metrics & observability to help drive data quality standards
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Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
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Troubleshoot data pipelines, platform automations, data access system.
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Help field and troubleshoot various community questions and challenges
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Own, maintain and enhance data operation processes, monitoring & data quality systems
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Design data models for both short term and long term use cases to support data warehouse scalability
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Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
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Identify opportunities for improvements & optimization for greater scalability & delivery velocity
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Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
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Perform root cause analysis on often complex errors to help ensure data pipeline availability
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Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
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Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
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Proactively drive innovation internally with bringing ideas for platform and process improvements
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Help contribute to the ongoing documentation of internal systems and processes
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2+ years of relevant experience in Data Engineering / Data Platform Engineering
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Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
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Prior experience with Snowflake a plus
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Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
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Experience in building data models
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Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
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Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
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Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
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Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
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Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
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Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
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Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
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
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Dataiku
Data & ML
28 open roles on Sydicom
Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes.
Source: company website
