Cloud Data Engineer (ANZ Bank partners with HCLTech)

*** 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.

Extract, load, transform, clean and validate data
Implement methods for DevOps automation of all parts of the built data pipelines to deploy from development to production
Support and debug data pipelines
Design pipelines and architectures for data processing
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
Build and run the data processing pipeline on Google Cloud Platform (GCP)
Formulate business problems as technical data problems while ensuring that key business drivers are captured in collaboration with product management

Yêu cầu công việc

At least 4 years of experience in total at Data Engineering or at a similar role
Experience with Advanced SQL and Python skills
Experience with DataOps
As GCP Cloud Data Engineer: You must be strong at General Infrastructure and Services and particular data services such as Big Query, Dataflow, Airflow, Cloud Function, etc.
Proven successful design and implementation of large and complex data solutions (Data Warehouse, Data Lake) using various architectural patterns such as Microservices
Good command of English verbal communication
Experience in using DevOps while working on Cloud data platforms like using Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes
As AWS Cloud Data Engineer: You must be strong at AWS technologies as the followings: data pipeline (Lake Formation, MWAA, EMR, S3, Glue and Athena); Data Warehousing technologies (AWS Redshift)
Strong Cloud- based Data Engineering experience in one of the following Clouds (AWS/Azure/GCP); we mainly use GCP but we are open to your Cloud experience (with at least 2 years)
As Azure Cloud Data Engineer: You must be strong at Azure Data Lake Storage, Azure Databricks and Azure Data Factory, Synapse, etc.

Hybrid working mode (3 working days at office, flexible time)
Medical benefit for employee and family
Working in a fast- paced, flexible, and multinational working environment. Chance to travel onsite (in 49 countries)
Insurance plan based on full salary + 13th month salary + Performance bonus
Free snacks, refreshment, and parking
Working time: 08:30 AM- 06:00 PM from Mondays to Fridays (meal breaks included)
18 paid leaves/year (12 annual leaves and 6 personal leaves)
Meal allowance of 730,000 VND/month
Salary: Please completely feel free to tell us your expected number!!!
Internal training (Technical & Functional & English)
100% full salary and benefits as an official employee from the 1st day of working

For more support and information, please contact:
HCL Vietnam Company Limited
Le Thuy Huyen (Ms.) – Recruitment Department
LinkedIn:

Cập nhật gần nhất lúc: 2024-01-15 15:55:30