Software Developer IV

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Engage directly with quantitative data to develop innovative capabilities and enhance existing ones.

• Create data products that address critical challenges in the automotive sector.

• Take full ownership of essential business projects from start to finish.

• Promote technical excellence within the team.

• Foster organizational growth through knowledge sharing and mentorship.

• Work daily with automotive industry data, including intricate business rules and data management practices.

• Manage the complete development lifecycle: architecture, development, testing, and bug fixing.

• Collaborate with stakeholders to articulate data requirements and convert business challenges into technical solutions.

• Build robust and scalable data pipelines using Snowflake, Dataproc, Airflow, Cloud Composer, and BigQuery.

• Design, troubleshoot, and implement repeatable data workflows.

• Identify and resolve bottlenecks to enhance efficiency and reliability.

• Analyze complex issues and present findings to business leadership.

• Uphold engineering best practices and pinpoint security vulnerabilities.

• Mentor junior engineers in technologies, processes, and domain knowledge specific to the industry.

• Lead cross-functional projects involving Consulting, New Product Development, Data, and Engineering teams.

• Act as a strategic technical advisor for data-centric business solutions.

⛳️ Requirements

• Bachelor's degree in Statistics, Mathematics, Econometrics, Operations Research, Quantitative Marketing, Finance, Engineering, or a related field.

• Over 6 years of full-time experience in quantitative analytics and data engineering.

• Proficient in SQL and Python.

• Expertise in modern cloud data platforms, specifically GCP BigQuery and Snowflake.

• Highly adept in ETL processes with a proven track record of efficiency and accuracy.

• Practical experience with Airflow, Cloud Composer, and Dataproc.

• Experience in integrating complex, multi-source datasets with various dimensions and levels of complexity.

• Proven ability to creatively and effectively solve data quality issues.

• Strong judgment in identifying anomalies and inconsistencies.

• Capability to convert technical analysis into clear business insights.

• Excellent written and verbal communication skills.

• Subject matter expertise or the ability to quickly attain in-depth domain knowledge in industry-specific business rules and processes.

• Proficient in AI-assisted development tools like Copilot, Cursor, or Claude Code.

• Ability to evaluate when to accept, modify, or reject AI-generated outputs.

• Skilled in providing effective context, encompassing codebase conventions, requirements, and constraints.

• Experience leveraging AI to enhance test authoring, documentation, and routine code refactoring.

• Awareness of AI tool limitations, including hallucinated APIs, outdated patterns, security risks, and the necessity for human verification.

• Self-motivated and detail-oriented, capable of managing work from requirements to deployment.

• Strong communication and problem-solving abilities.

• Comfortable collaborating with both technical and business stakeholders.

• Contributes to team development through peer reviews, collaborative work, and mentorship.

🏝️ Benefits

• Accommodation support available during the recruitment and selection process.

• Commitment to a diverse and inclusive workplace.