Data Engineer

JOB DESCRIPTION

Building a data pipeline to transfer data from a data source on-premises to the target database on Google BigQuery
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Build analytics tools to provide real-time and non-real-time insights into customers’ origination, operation, and systems executions.
Develop, transform large datasets and maintain robust data pipelines that can support various use cases with high performance 

JOB REQUIREMENT

1-2 years of experience as a Data Engineer;
Experience with non-relational and relational databases (MySQL, MongoDB);
Experience with Python or NodeJS programming languages;
Experience with cloud platform (Google cloud platform, AWS);
Advanced working SQL knowledge and experience working with Google BigQuery;
Ability to work independently because you are the first brick of the team, with many opportunities but also many challenges.

WHAT'S ON OFFER

100% Social Insurance on your base salary;
13th-month salary and performance bonus;
12 annual leaves + 3 sick leaves;
A laptop, monitor, and other essential devices are provided;
Private healthcare insurance, yearly checkup;
Gathering activities on special occasions (Christmas, New Year, Women’s Day, etc.);
Company trip and team-building activities;
Snacks, tea, and coffee are ready to serve;
A flexible environment with super fun and enthusiastic colleagues.

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:

Earn and Redeem

Technical Skills:

Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01090

Status:

Close

Related Job:

Senior Software Engineer (PHP/ Golang)

Ho Chi Minh - Viet Nam

Product

  • PHP
  • Golang

#Build great software: Analyze requirements, translate them into technical specifications, and estimate their implementation cost. Be a strong individual contributor, actively writing (or teaching AI how to write) high-quality, maintainable, and scalable code. Contribute to the technical roadmap: Identify and prioritise problems, gaps and technical debt in the product. Research and evaluate new tools, technologies and frameworks to enhance the product and improve development efficiency. Actively ensure the product is technically prepared for future challenges, especially considering security, maintainability, and scalability.#Co-own the product: We emphasize the culture of ownership, so our engineers are empowered and encouraged to provide product development suggestions. Provide technical input and insights to Product Managers regarding tradeoffs between scope, engineering capacity, and time constraints.#Raise the quality bar for the team: Champion best practices and actively participate in code and design document reviews to ensure high quality. Mentor and support other engineers, fostering their growth and development. Cross-team collaboration Maintain communication with other technical teams to avoid duplicate effort, incompatible solutions and solving problems other teams have already resolved.

Negotiation

View details

Senior Deep Learning Algorithms Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning
  • Algorithm

Analyze and optimize deep learning training and inference workloads on advanced hardware and software platforms. Work with researchers and engineers to enhance workload performance. Develop high-quality software for deep learning platforms. Create automated tools for workload analysis and optimization.

Negotiation

View details

Software Engineer

Ho Chi Minh - Viet Nam

Product

Create and develop the API Platform with a focus on reliability, performance, and providing a top-tier developer experience Deploy and enhance AI/ML models in scalable, production environments in collaboration with research and applied ML teams Manage and advance a contemporary, cloud-native infrastructure stack utilizing Kubernetes, Docker, and infrastructure-as-code (IaC) tools Ensure platform dependability by designing and implementing telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms Contribute to developer and operations workflows, encompassing CI/CD pipelines, release management, and on-call rotations Work collaboratively across teams to implement secure APIs with fine-grained access control, usage metering, and billing integration Continuously enhance platform performance, cost-efficiency, and observability to accommodate scaling and serve users globally.

Negotiation

View details