PySpark Developer - Telus Digital : Job Details

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Work Mode / Location :: Onsite at Charlotte NC

Responsibilities

• Develop and maintain scalable data pipelines using Python and PySpark.
• Collaborate with data engineers and data scientists to understand and fulfill data processing needs.
• Optimize and troubleshoot existing PySpark applications for performance improvements.
• Write clean, efficient, and well-documented code following best practices.
• Participate in design and code reviews.
• Ensure data integrity and quality throughout the data lifecycle.
• Stay current with the latest industry trends and technologies in big data and cloud computing.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Python Developer with expertise in PySpark.
• Strong understanding of big data technologies and frameworks.
• Experience with distributed computing and parallel processing.
• Proficiency in SQL and experience with database systems.
• Solid understanding of data engineering concepts and best practices.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration abilities.

Educational Background

• Bachelor's degree in IT, computer science, software engineering, or equivalent experience.