We bring together the best of technology and our people to supercharge progress.
Noida, Uttar Pradesh
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. To learn how we can supercharge progress for you, visit hcltech.com.
On-site · Vancouver
The role involves developing and optimizing email marketing campaigns using Adobe Campaign Standard and driving innovation through AI and data-driven solutions. The candidate will analyze campaign performance to improve deliverability, engagement, and overall marketing effectiveness.
On-site · Markham
Execute thermal, mechanical, and acoustic validation for GPU platform solutions and develop Python-based automation tools for data analysis. Collaborate with cross-functional teams to validate GPU thermal features, fan control, and heatsink readiness.
Remote · Canada
Manage and support enterprise production and lab cloud environments to ensure stability, availability, and compliance. This includes executing patch deployments, monitoring system health, and performing root cause analysis for incidents.
On-site
Candidate will be working CST time zone. We are seeking a highly experienced Senior Data Engineer with deep expertise in Snowflake Data Platform, Enterprise Databases, Data Warehousing, and Database Performance Optimization. The ideal candidate will bring a strong foundation as a Senior Database Engineer/Architect and possess hands-on experience in designing, optimizing, modernizing, and governing large-scale enterprise data platforms. This role requires extensive experience in Snowflake architecture, database optimization, SQL performance tuning, cloud-based data engineering, data modeling,…