Analyze and develop data solutions, including automation, integration and unit tests
Create solutions that prevent data corruption while ensuring data consistency and reliability
Collaborate with other teams and stakeholders to understand data requirements
Actively contribute to reviews by providing constructive feedback to team members
Ensure technical solutions and system integrations are developed and maintained in an efficient and effective manner

Requirements

A bachelor’s degree in computer science or engineering
Minimum 6 years of experience in data development
Proficiency in a chosen technology stack (AWS Glue, PySpark, python)
Ability to design and implement functional solutions in a framework-driven dev environment
Experience with data lake, data warehouse and ETL processes
Data modelling experience with Data Vault 2.0 and Dimensional (Star Schema) methodologies is an asset
Expertise with SQL and databases (Oracle, Teradata, RedShift)
Experience with ETL design and scheduling, including familiarity with scheduling tools like AWS Step Functions
Experience with a reporting solution (QuickSight)
Familiarity with CICD pipeline, infrastructure-as-code solution (AWS CloudFormation)
Familiarity with version control tools (Git)
Ability to monitor, debug and resolve production issues

Benefits

Competitive total rewards packages: market-aligned and performance-based salary and incentive programs
Flexible and comprehensive group benefit and savings plans
Well-being support through benefits and wellness programs
Learning and development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data developmentAWS GluePySparkpythondata lakedata warehouseETL processesSQLdata modellingData Vault 2.0

Soft Skills

collaborationconstructive feedbackproblem-solvingcommunication

Certifications

bachelor’s degree in computer sciencebachelor’s degree in engineering