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Data engineer

Q4

This is a Full-time position in Richmond Hill, ON posted March 4, 2021.

About Q4
Q4’s objectives are simple. Hire smart, diverse and capable people to build the best platforms possible and provide exceptional client experiences. 
We’ve been revolutionizing the Investor Relations space, connecting over 2,300 public companies including Nike, Amazon, Shopify & Apple with investors using our cloud-based full-stack IR solutions for the past 14 years.  
If you’re looking for a career opportunity with a fast-growing tech company and a ‘get it done’ attitude then we want to hear from you.
The gig.
The data engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Keep our data separated and secure through multiple data centers and AWS regions.
  • Create data tools for analytics and different team members that assist them in building and optimizing our product into an innovative industry leader.

Requirements

  • Bachelor’s Degree in Computer Engineering or a related field required, or equivalent education
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing system
  • Analytical mind, critical thinker, problem-solver
  • Understanding of the financial services industry and global capital markets
Why Q4?
We work hard, and we have fun. Success is what motivates us everyday to be the best and keep winning in the market. We offer a variety of perks to ensure our team can always work hard and play hard:
– Unlimited paid time off. Enough said.
– Flexible work schedule.
– Competitive salary, benefits and equity incentives for everyone!
– Employee Assistance Programs.  We help you focus on your work life balance!
– Dog-friendly office. Hope you can handle cuteness overload!
– Food for thought.  Complimentary tea, coffee and snacks!
– Themed socials. Karaoke. Maybe a costume?
– Tuition Reimbursements. We invest in your continued learning!!
– Hackathon events. For all who love to design and build.
– Trendy, open concept offices in a hip part of town.
Join #Q4orce
Q4’s diverse culture fosters a friendly, open-minded workplace. As a member of a dynamic, high-performing team, each Q4 employee is hungry to learn, valued for their contribution, and approaches each day excited to make an impact. With great reasons to work here, take advantage by submitting your application to join our growing team
Why Q4?
We are motivated by solving complex problems in unorthodox ways.  Emphasis on your well-being means you experience your true potential.  We offer a variety of benefits to ensure you can always work hard and have fun:
– 360 Support.  Leverage our lifestyle benefit and employee assistance program to spruce up your workspace, invest in personal wellness or simply spoil yourself!  
– Unlimited paid time off and flexible working hours. Rest is important. Enough said.   
– Flexible working environment.  Choose your home, one of our trendy offices or mix it up. 
– Generous health and lifestyle benefits.  You are in charge of your benefit dollars.  
– Virtual team building and socials. Keeping people connected is important.  
Invest in your development.  We’ll help you with your tuition.  
Join #Q4orce
Q4’s diverse culture fosters a friendly, open-minded workplace. As a member of a dynamic, high-performing team, each Q4 employee is hungry to learn, valued for their contribution, and approaches each day excited to make an impact. With great reasons to work here, take advantage by submitting your application to join our growing team.
Q4 values diversity and people of all backgrounds and abilities.  Should you require any accommodations prior to or during the interview process, please indicate this during the interview process.