Senior Data Engineer
3 weeks ago
Senior Data Engineer
Who We Are:
Vista's Engineering organization is working to make our company one of the world's most well-known and successful data-driven companies. The cross-functional team includes analysts, software and data engineers, architects, data scientists, product owners, and more - all passionate about providing Vista with solutions, insights and tools to develop products and services customer love. Vista Engineering team members are empowered to learn new skills, communicate openly and be active problem-solvers.
We work in close collaboration with our partners in the business, Customer Service, Product Development, and Marketing as we embark on an exciting journey to upgrade our customer service with advanced analytics. Vista is a leader in custom designs and professional marketing for small businesses and offers phenomenal customer service. Our goal is to empower our teams with innovative data analytics solutions and actionable insights, enabling them to deliver an exceptional customer experience and drive continuous improvement.
About you:
Passionate about both Data Engineering and Machine Learning Engineering, you can likewise wear one or the other hat according to what you need to accomplish Passionate about GenAI an excited to join a Team working on state of the art GenAI topics Ideate and build data products that drive value for internal and external customers Write quality code that meets product requirements for functionality, SLA and scale Partnering in designing and architecting production grade and scalable data products Support and collaborate with the Product Owner in managing stakeholder communications, evangelizing the adoption of the team’s data products, manage dependencies, risks, and delivery roadblocks Partner with a talented cross functional data product Team of Data Scientists, AI Engineers and Analysts Collaborate with the team on backlog refinement, OKRs definition and medium to long-term roadmapWhat You Will Do:
Build production grade data products using technologies such as Snowflake, Airflow, DBT, Databricks (Spark), Fivetran, Looker and more Work on data pipelines and model deployments for innovative AI/GenAI innovations Work directly with Analysts, Data Scientists, AI engineers, Product Owners and Business Experts in a cross functional, agile, product development team Integrate data products with Vistaprint’s suite of microservices for use in analytic solutions and customer facing features on our website or marketing channels Provide feedback for new features to the Vistaprint Data Platform teamYour Qualifications:
Degree in Computer Science, Engineering, Mathematics, or a related field Proficiency coding knowledge in at least one modern programming language: Python (preferred), Java, Scala etc. Strong skills in SQL and Spark Good knowledge of production standards such as versioning, CI/CD, data quality, documentation, automation, etc. Familiarity with MLOps Experience handling large volume data as well as both structured/unstructured data of various quality Problem solving and multi-tasking ability in a fast-paced, globally distributed environment 3+ years in a similar roleNice to Have:
Familiarity with DBT and Airflow Familiarity with dataviz and dashboarding tools, especially Looker Familiarity with API’s and microservices Experience working in agile environmentWhy You'll Love Working Here:
We strive to give you everything you need to learn, grow, and succeed and take a step forward in your learning journey – and your life. Through constant learning, collaboration, and perpetual exposure to what’s next, we’re always pushing boundaries and broadening our horizons.
At Vista, we put great importance into the wellbeing of our employees, which is why we offer perks that ensure an excellent work/life balance.
About Us:
As an e-commerce powerhouse, Vista is a dynamic organization that maintains an exciting, entrepreneurial culture. With founder Robert Keane’s as chairman and Florian Baumgartner as CEO, we’ve renewed our focus on empowering and helping small businesses. To do this, we create customer value (and delight) through accessible, cutting- edge technology. We thrive on providing opportunities for exploration, collaboration, innovation, and growth – for both our customers and our team.
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