Python Developer Data Analyst Jobs in Toronto, ON

Hiring Manager: Frans van Buul

Talent Acquisition Advisor: Krunal Patel

Job Code Level: DAP4

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Role: Lead Python Developer

Location: Richmond Hill, Ontario, CAN, L4B 4N8

Hiring Manager: Frans van Buul

Job Code Level: DAP4

As a global leader in secure information management, OpenText empowers businesses to stay ahead of the ever-evolving cyber threats. Our Cybersecurity Enterprise portfolio is formidable, offering innovative solutions that safeguard organizations from malicious attacks, data breaches, and cyber vulnerabilities. By joining our team, you'll be at the forefront of developing and implementing state-of-the-art security technologies, protecting critical assets and sensitive information for clients worldwide.

Our Cybersecurity Enterprise portfolio contains Application Security solutions, and as part of this, OpenText Software Composition Analysis (SCA; formerly known as Debricked), which is an innovative and rapidly growing solution to manage open-source risk.

One of the unique and interesting elements of OpenText SCA is that its intake of open-source data is fully automated by an advanced data collection system. The OpenText SCA data science team is responsible for maintaining and expanding this system. This international team is based in Canada and India.

Your Impact:

As a Lead Python Developer in the OpenText SCA data science team, you will work on enhancing data intake processes and optimizing data pipelines. You will apply many different approaches, depending on the needs of the product and the challenges you encounter. In some cases, we use AI/LLM techniques and we expect the number of such cases to increase Your contributions will directly impact OpenText SCA's scope and quality and will help ensure future commercial growth of the product.

What the Role Offers:

As a Lead Python Developer, you will,

• Innovative Data Solutions: Develop and optimize data pipelines that improve the efficiency, accuracy, and automation of the OpenText SCA's data intake processes.
• Collaborative Environment: Work closely with developers and product managers from Sweden and India to create impactful, data-driven solutions.
• Continuous Improvement: Play an essential role in maintaining and improving the data quality that powers OpenText SCA analysis, improving the product's competitiveness. We expect the Lead developer to be innovative and propose new methods and techniques.
• Skill Development: Collaborate across teams and leverage OpenText's resources (including an educational budget) to develop your expertise in data science and AI, expanding your skill set in both traditional and cutting-edge technologies.

What You Need to Succeed:

• Experience: 8+ years of experience in software development, with at least 5 years of Python expertise focused on data pipelines and quality.
• Education: A degree in Computer Science or a related discipline.
• Software Architecture & Python: Expert-level developer with a strong focus on clean architecture, design patterns, and rigorous testing (unit, integration, etc.). Proficient with Python's ecosystem, particularly ML and AI libraries.
• Database & Schema Design: Strong experience working with complex databases, including planning, evolving, and maintaining database schemas.
• Data Pipelines & Optimization: Proven ability to build, debug, and optimize complex pipelines processing huge volumes of diverse data. Capable of pinpointing and resolving bottlenecks to ensure maximum performance with minimal resource consumption.
• AppSec & SCA: Basic knowledge of and a strong interest in Application Security (AppSec) and Software Composition Analysis (SCA).
• Leadership: Experience acting as a lead developer, coaching junior team members, leading subprojects, and taking ownership of technical decisions.
• Collaboration: Comfortable working in a distributed team and collaborating effectively across different time zones.

Nice to have:

• AI & Prototyping: Ability to quickly build high-quality AI/LLM POCs and scale them into production while balancing business value against operational and API costs.
• DevOps & CI/CD: Hands-on experience with Kubernetes deployment/maintenance and automated CI/CD pipelines.
• Knowledge of diverse datastores like Elasticsearch and Neo4j.
• Experience working with GCP or other major cloud platforms.

One last thing:

OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned.

Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character.

Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.

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OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.