Google Cloud Platform (GCP) – Cloud Data Engineer – HCL Vietnam

Website HCL Vietnam


HCL Technologies is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age. HCL offer an integrated portfolio of products, solutions, services, and IP through our Mode 1-2-3 strategy built around Digital, IoT, Cloud, Automation, Cybersecurity, Analytics, Infrastructure Management and Engineering Services, amongst others, to help enterprises reimagine their businesses for the digital age.

With a worldwide network of R&D, innovation labs and delivery centers, and 150,000+ ‘Ideapreneurs’ working in 49 countries, HCL serves leading enterprises across key industries, including 250 of the Fortune 500 and 650 of the Global 2000.


HCL is setting up large delivery centres for digital transformation projects in Vietnam and as part of that we are starting a delivery centre in Ho Chi Minh City for Data transformation initiative of a major Global Bank. Work involves transforming legacy data into modern digital data technology and hosting it in Google Cloud Platform. This is an exciting project in which employees get opportunity to experience most modern data tool stack. Project is delivered in agile ways of working, an excellent opportunity to work for a global leader.


You will be responsible for building and running the data processing pipeline on Google cloud platform

• Work with implementation teams from concept to operations, providing deep technical expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on GCP

• Work with data team to efficiently use GCP to analyze data, build data models, and generate reports/visualizations

• Integrate massive datasets from multiple data sources for data modelling

• Implement methods for Devops automation of all parts of the build data pipelines to deploy from development to production

• Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management

• Design pipelines and architectures for data processing

• Extract, load, transform, clean and validate data


➢ Must requirements:

• At least 3 years of experience in ETL Tools (such as Infromatica, Apache Beam, Kafka)

• At least 3 years of experience in Google Cloud Platform (BigQuery, DataProc, DataFlow)

• Having relative experience in any scripting/programming language as following: Java/Python/Go

• Having relative experience in declarative CI/CD (Jenkins, Azure DevOps)

• Having relative experience in Databases: SQL and NoSQL

• Have a strong engineering mindset to automate tasks, identify use cases, test cases, improve the system, PR/Incident resolution and deployments

 Good to Have:

• Having relative experience in Automation: Kubernetes or Docker & Containerization

• Having relative experience in Infrastructure as a Code (IaaC) (i.e., Terraform, Cloud Formation, Azure ARM Templates)

• Having knowledge or experience in Big Data – Hadoop ecosystems including HDFS, MapReduce, YARN, HBase, Zookeeper, Spark, Pig, Hive…

• Having knowledge or experience with Hadoop distributions such as Cloudera, HortonWorks…

• Having relative experience in Data management:

o Data Governance

o Data Architecture

o Data Modelling

o Data Quality

o Data integration


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

• Insurance based on full base salary

• Meal allowance 730,000/month

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

• Medical Benefit (Bao Viet Insurance Package) for Employee and Family

• Working in a fast paced, flexible, and multinational working environment with opportunity to travel onsite (in 49 countries)

• Internal Training (Technical & Functional & English)

• Working time: 8:30 am-6:00 pm from Mondays to Fridays

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