Real-Time Optimization Data Engineer

Brix; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading data services startup in Canada is seeking a Data Engineer to develop data solutions that leverage optimization algorithms. The ideal candidate will possess a Bachelor's degree in a relevant field and at least 2 years of experience in data engineering. You'll work with Python and SQL, deploying solutions on cloud platforms like AWS or Azure. Responsibilities include designing data pipelines and enhancing simulation tools. Join a team that values creativity and diversity, striving to disrupt traditional processes!

Qualifications

• 2+ years of experience in data engineering with a focus on optimization algorithms.
• Proficiency in Python, SQL, and familiarity with tools like Databricks and Apache Spark.
• Experience with optimization frameworks or modules such as CuOpt, Gurobi, or CPLEX.

Responsibilities

• Design, develop, and maintain data pipelines with optimization algorithms.
• Collaborate with data scientists to integrate optimization algorithms.
• Analyze system performance to improve efficiency and accuracy.

Skills

Data pipeline development

Optimization algorithms

Analytical skills

Problem-solving skills

Python

SQL

Cloud platforms

Education

Bachelor’s degree in Computer Science, Data Engineering, Operations Research, or a related field

Tools

Databricks

Apache Spark

CuOpt

Gurobi

CPLEX

Job description

A leading data services startup in Canada is seeking a Data Engineer to develop data solutions that leverage optimization algorithms. The ideal candidate will possess a Bachelor's degree in a relevant field and at least 2 years of experience in data engineering. You'll work with Python and SQL, deploying solutions on cloud platforms like AWS or Azure. Responsibilities include designing data pipelines and enhancing simulation tools. Join a team that values creativity and diversity, striving to disrupt traditional processes!