Cloud Data Engineer
JOB DESCRIPTION
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
JOB REQUIREMENT
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 of working on Cloud)
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.
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)
As Azure Cloud Data Engineer: You must be strong at Azure Data Lake Storage, Azure Databricks and Azure Data Factory, Synapse, etc.
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
Experience with DataOps
Experience in using DevOps while working on Cloud data platforms like using Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes
Good education background of Information Technology (IT) and Information and Communication Technology (ICT)
Ability to influence both technical and business peers and stakeholders
Good command of English verbal communication
If you have work experience with Marketing domains, you will be preferred
WHAT'S ON OFFER
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
Meal allowance of 730, 000 VND/month
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)
CONTACT
PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!
Job Summary
Company Type:
Information Technology & Services
Technical Skills:
Data Engineer, Data, Cloud, Google Cloud, ETL/ELT
Location:
Ho Chi Minh - Viet Nam
Salary:
Negotiation
Job ID:
J01454
Status:
Active