Lead Data Engineer

3 weeks ago


Anywhere in IndiaMultiple Locations Vista Full time

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 Scientist, AI Engineers and Analysts

- Collaborate with the team on backlog refinement, OKRs definition and medium to long-term roadmap

What 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 team

Your Qualifications :

- Degree in Computer Science, Engineering, Mathematics, or a related field

- Coding mastery in at least one modern programming language: Python (preferred), Java, Scala etc.

- Strong skills in SQL, Spark, DBT and Airflow

- Strong knowledge in production standards such as versioning, CI/CD, data quality, documentation, automation, etc.

- Strong knowledge on MLOps

- Proficiency with cloud services in AWS (Preferred), Azure or Google

- Experience with API's and microservices development and consumption

- Good skills in data modeling and system design

- 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-

- 5+ years in a similar role

Nice to Have :

- Experience with dataviz and dashboarding tools, especially Looker

- Relevant work in agile environment

- 100% remote

(ref:hirist.tech)
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