North America / Canada / ON / Toronto /

Technology & Engineering

#: 743999736535272 / 50243577

Mid-Senior Level

Full-Time

Job Description

Our Precima team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients.

As a Data Engineer,  you’ll be part of a team of smart, highly skilled engineers and data scientists who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data driven solutions, powered by technology, and people.

What you'll do 

  • Lead the design, development and implementation of new and existing data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster
  • A key contributor in providing data integration and management solutions to a diverse team of data analysts and data scientists as they develop best-in-class analytics solutions
  • Lead data architecture efforts in support of key analytics innovations that involve multiple internal and/or external (client) stakeholders
  • Develop efficient queries to retrieve appropriate datasets from relational databases
  • Design, implement and maintain performance of reliable data pipelines and interfaces that feed various analytics applications, both structured and unstructured data
  • Create, implement, and maintain data transformation processes
  • Work alongside key stakeholders within the  team to put data processing solutions into production environment

We're looking for people who have

  • Computer Science, Engineering, Information Systems  degree (or equivalent combination of skill and experience)
  • Experience with complex data engineering/architecture related projects
  • Experience with a broad array of development tools and platforms including a strong Linux background and big data management tools/languages such as Python, Java and Scala
  • Experience with developing REST APIs and microservices
  • Expertise in relational database design and data modelling and excellent SQL coding skills
  • Experience with Cloud platforms – AWS, Azure, Snowflake

Qualifications

https://jobs.smartrecruiters.com/TheNielsenCompany/743999736535272-data-engineer