Việc làm Trusting Social

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Trusting Social
[HCL x ANZ] Backend Engineer (Data Platform Team)
Trusting Social
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Thông tin cơ bản
Mức lương: Thỏa thuận
Chức vụ: Nhân viên
Ngày đăng tuyển: 02/09/2024
Hạn nộp hồ sơ: 16/10/2024
Hình thức: FULL_TIME
Kinh nghiệm: 2 - 3 năm
Số lượng: 1
Giới tính: Không yêu cầu
Nghề nghiệp
Ngành

DATA ENGINEER (CLOUD) – VERY OPEN TO NEGOTIATE


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 date of submission.


JOB TITLE: DATA ENGINEER (CLOUD)

JOB LOCATION: HCMC

ABOUT HCLTECH VIETNAM COMPANY LIMITED

HCLTECH Vietnam Company Limited belongs to HCLTech.

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 June 2023 totaled $12.8 billion. To learn how we can supercharge progress for you, visit https://www.hcltech.com/.


Our Vietnam-based offices:

• Hanoi Office: Level 13-17, Leadvisors Tower, 643 Pham Van Dong Street, Co Nhue Ward, North

Tu Liem District, Hanoi

• HCMC Office: Level 11, Five Star Tower, 28Bis Mac Dinh Chi Street, Da Kao Ward, District 1, HCMC


DUTIES & RESPONSIBILITIES:

Our purpose is to shape a world where people and communities thrive. We are making this happen by improving our customers’ financial wellbeing so they can achieve incredible things – buying a home, building a business, or saving for big or small things. We are looking for people who are passionate about transformational change and to help us redefine banking for the future. Be a part of building the ideal data ecosystem from scratch. Ensuring the right data is generated from all

applications and sourced at the right velocity with the complete depth and breadth to ensure complete coverage and reuse. This is your opportunity to build new, not fix old.

What will your day look like:

• Building and running the data processing pipeline on Google Cloud Platform

• 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


JOB REQUIREMENTS

We are trying to reimagine the way we help and interact with our customers, so we are looking for

candidates with creativity, an open mind and positive energy. Our requirements are as below:

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


WHY YOU SHOULD JOIN US:

• Very challenging project with ANZ Bank where latest technology are applied and talented engineers are gathered

• Attractive package including base salary + 13th month salary + Performance Bonus.

• Insurance based on full base salary and Medical Benefit (Bao Viet Insurance Package) for

Employee and Family

• 100% of full salary and benefits as an official employee from the 1st day of working

• 100% salary during probation time

• Working in a fast paced, flexible, and multinational working environment with opportunity to

travel onsite (in 60 countries)

• Internal Training (Technical & Functional & English)

• Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries

• 18 paid leaves per year

• Hybrid Mode (3 working days at office, flexible time)


HCLTECH Technologies Limited is committed to protecting and securing the privacy and confidentiality of the Personal Data which it collects directly or indirectly from you when applying for a job at HCLTECH either directly or through a third-party human resources agency.


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 date of submission.

Khu vực
Báo cáo
Quy mô:
100 - 200 nhân viên
Địa điểm:
Tầng 8 Tòa nhà Havana, 132 Hàm Nghi, Phường Bến Thành, Quận 1, Thành phố Hồ Chí Minh, Việt Nam

Trusting Social là một công ty fintech tiên phong trong lĩnh vực Alternative Credit Scoring – hệ thống chấm điểm tín dụng. Trusting Social được (TS) thành lập vào năm 2013 bởi nhà khoa học dữ liệu, tiến sĩ Nguyễn An Nguyên. Bằng công nghệ Big Data (dữ liệu lớn) và AI (trí tuệ nhân tạo), Trusting Social sẽ xây dựng nên một cơ sỡ dữ liệu điểm tín dụng (credit score) của mỗi cá nhân, từ đó giúp các tổ chức tài chính đưa ra quyết định cấp tín dụng cho khách hàng.

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