Backend Engineer (Data Platform Team)
Backend Applications
Salary
Location
Job Overview And Responsibility
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
Required Skills and Experience
- 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, 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.
Why Candidate should apply this position
- Very challenging project with ANZ Bank where latest technology is applied and talented engineers are gathered - Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries - Attractive package including base salary + 13th month salary - 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) - 18 paid leaves per year - Hybrid Mode (3 working days at office, flexible time)
Preferred skills and experiences
- 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
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