Make your mark as a Data Engineer on a multinational Fortune 500 Project in Canada. Shape innovative solutions and drive technological excellence. Apply now to be a valued member of the dynamic team.


Note: Please note that this is a hybrid job is for the people in Montreal as it requires you to visit the office twice a month.


Responsibilities

• Provide guidance on optimizing the Genuine Optimized Campaign process.
• Design and create foundational campaign tables in Hive and Snowflake using SQL, Python, and PySpark.
• Collect new data points from VWO via API integration to evaluate campaign performance.
• Ensure daily updates to assign fresh non-compliant users to the campaign.
• Build databases to support the Champion/Challenger campaign strategy.
• Enhance the existing data infrastructure to automate campaign launches.
• Set up the environment for deploying Reinforcement Learning (RL) algorithms to manage campaigns.

Minimum Qualifications

• Bachelors degree or higher in a quantitative discipline.
• 5+ years of experience in a data analysis role.
• 3+ years of experience with Python, SQL, and visualization tools like PowerBI.
• Proficient in AWS and coding with Spark/PySpark.
  
• Familiar with Airflow for workflow management.
• Demonstrated ability to make data-driven decisions and solve problems with strong conceptual and quantitative skills.
• Strong business acumen, leadership skills, and integrity, with the ability to make decisive and responsible decisions.
• Excellent communication and strategic influencing skills, with the ability to build consensus through intellect and negotiation.
• Self-motivated, adaptable, and thrives in fast-paced environments.
  
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  NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.