Cloud Data Engineer Anz Bank Partners With 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 Dec 2023 totaled $13.1 billion.
*** Note: We highlyappreciate 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 buildingthe 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)
Support and debug data pipelines
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
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
Extract, load, transform, clean and validate data

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)
Good command of English verbal communication
As Azure Cloud Data Engineer: You must be strong at Azure Data Lake Storage, Azure Databricks and Azure Data Factory, Synapse, etc.
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.
Experience with DataOps
Proven successful design and implementation of large and complex data solutions (Data Warehouse, Data Lake) using various architectural patterns such as Microservices
Experience with Advanced SQL and Python skills
At least 4 years of experience in total at Data Engineering or at a similar role
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)

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
Salary: Please completely feel free to tell us your expected number!!!
Internal training (Technical & Functional & English)
Medical benefit for employee and family
Working time: 08:30 AM- 06:00 PM from Mondays to Fridays (meal breaks included)
Free snacks, refreshment, and parking
Hybrid working mode (3 working days at office, flexible time)
100% full salary and benefits as an official employee from the 1st day of working
18 paid leaves/year (12 annual leaves and 6 personal leaves)

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

Cập nhật gần nhất lúc: 2024-05-01 03:40:34