Data Engineer

Guidepoint; Toronto; Hybrid; CAD 50,000 - 70,000; Full time

Job summary

Guidepoint is seeking a Data Engineer to be part of their Toronto-based Technology team. The role involves improving internal application architecture and contributing to innovative data solutions in a hybrid work environment. Ideal candidates will demonstrate strong data engineering skills, effective collaboration, and a willingness to learn continuously, as they focus on advancing Guidepoint's technology for enhanced analytics and AI capabilities.

Benefits

Paid Time Off

Comprehensive benefits plan

Company RRSP Match

Development opportunities through LinkedIn Learning

Qualifications

• Proactive engagement and eagerness to learn.
• Excellent communication skills for articulating complex ideas.
• Collaborative approach seeking guidance when necessary.

Responsibilities

• Collaborate with data architects and data scientists to analyze business requirements.
• Work on best practices in data engineering and Lakehouse architecture.
• Contribute to the development of Generative AI capabilities.

Skills

SQL

PySpark

Dbt

DLT

Critical thinking

Problem solving

Tools

Databricks Platform

Job description

Join to apply for the Data Engineer role at Guidepoint

Join to apply for the Data Engineer role at Guidepoint

Overview:

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

Overview:

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

Guidepoint seeks a Data Engineer as an integral member of the Toronto-based Data/AI team. The Toronto Technology Hub will serve as the base of our new Data/AI team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.

This will be a hybrid position in our Toronto office.

What You’ll Do:

• Collaborate with data architects, data scientists, analysts, and other business consumers to quickly and thoroughly analyze business requirements to populate the data warehouse, optimized for reporting and analytics.
• Work with senior data engineers on best practices in data engineering and Lakehouse architecture.
• Drive innovation and contribute to the development of cutting-edge Generative AI and analytical capabilities for Guidepoint's Next-Gen research enablement platform.
  
  
  

What You Have:

• Demonstrated proactive engagement with eagerness to learn
• Excellent communication skills, adept at articulating complex ideas with clarity and precision
• Collaborative in approach, actively seeking guidance when necessary
• Skilled in data engineering concepts and languages, notably SQL, PySpark, Dbt, DLT
• Some familiarity with Databricks Platform and Knowledge Graph concepts
• Knowledgeable in Lakehouse architecture and OpenAI APIs
• Critical thinking and problem-solving abilities
  
  
  

What We Offer:

• Paid Time Off
• Comprehensive benefits plan
• Company RRSP Match
• Development opportunities through the LinkedIn Learning platform
  
  
  

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.5 million experts and Guidepoint’s 1,300 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services

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