Applications Developer
Posted 14 Oct 2026
Advertised as “Sr. Applications Developer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
Who We Are
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, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization
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.
Location & Flexibility
India Hybrid:
Our team at TELUS Digital. To help retain our deep culture of collaboration, this role will maintain an in-office presence in a hybrid capacity . This role can be located in Noida
The Opportunity
We are looking for a Senior Data Engineer with 7+ years of experience and strong hands-on expertise in Google BigQuery, SQL, Python, Apache Airflow, DAG development, CI/CD, and DevOps practices.
The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and data solutions on the Google Cloud platform. The role requires strong technical ownership, excellent problem-solving skills, and the ability to work closely with engineering, business, and analytics teams.
Responsibilities
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Strong hands-on experience with Google BigQuery.
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Expertise in BigQuery SQL, partitioning, clustering, optimization, and performance tuning.
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Experience designing scalable BigQuery data models and data warehouses.
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Understanding of BigQuery cost optimization and workload management.
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Strong proficiency in SQL.
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Experience writing complex queries, joins, CTEs, window functions, aggregations, and stored procedures.