PMAX

HCLTech is a global technology company, home to more than 223,400 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, Cloud and AI, 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, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending Dec 2023 totaled $13.1 billion.

*** Note: We highly appreciate your interest in this position of HCLTech Vietnam. After reviewing all applications, only qualified candidates will be contacted for the next steps within 15 days from the date of submission!

Be a part of building the ideal data ecosystem from scratch. This is your opportunity to build new, not fix old.

• Build and run the data processing pipeline on Google Cloud Platform (GCP)
• Work with Implementation teams from concept to operations to provide deep technical expertise for successfully deploying large scale data solutions in the enterprise and use modern data/analytics technologies on GCP
• Design pipelines and architectures for data processing
• Implement methods for DevOps automation of all parts of the built data pipelines to deploy from development to production
• Formulate business problems as technical data problems while ensuring that key business drivers are captured in collaboration with product management
• Extract, load, transform, clean and validate data
• Support and debug data pipelines

Must have:

• Bachelor's degree in computer science, Software Engineering, or a related field
• At least 2 Years of Experience working on developing backend / platform applications using modern programming languages such as Python, Java, JS, Go, Rust.
• Experience with provisioning services on top of Cloud Platforms (AWS, GCP, Azure) & Infrastructure as Code (Terraform, CDK, Pulumi...)
• Experience with constructing CI/CD workflows.
• Experience with (or having knowledge on) building data intensive applications.
• Excellent problem-solving skills and the ability to analyze and resolve complex technical issues.
• Working proficiency in English, both verbal and writing.

Nice to have:

• Experience in developing big-data pipelines (batch, streaming processing) is a huge plus
• Experience in developing automation processes and Observability is a huge plus.
• Interested in working with data platforms / eager to learn more about data is a huge plus.
• Familiar with Docker, K8S

• Hybrid working mode (3 working days at office, flexible time)
• Salary: Please completely feel free to tell us your expected number!!!
• 18 paid leaves/year (12 annual leaves and 6 personal leaves)
• Insurance plan based on full salary + 13th month salary + Performance bonus
• 100% full salary and benefits as an official employee from the 1st day of working
• Medical benefit for employee and family
• Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 49 countries)
• Free snacks, refreshment, and parking
• Internal training (Technical & Functional & English)
• Working time: 08:30 AM - 06:00 PM from Mondays to Fridays (meal breaks included)

• Hybrid working mode (3 working days at office, flexible time)
• Salary: Please completely feel free to tell us your expected number!!!
• 18 paid leaves/year (12 annual leaves and 6 personal leaves)
• Insurance plan based on full salary + 13th month salary + Performance bonus
• 100% full salary and benefits as an official employee from the 1st day of working
• Medical benefit for employee and family
• Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 49 countries)
• Free snacks, refreshment, and parking
• Internal training (Technical & Functional & English)
• Working time: 08:30 AM - 06:00 PM from Mondays to Fridays (meal breaks included)