Data Engineer

JOB DESCRIPTION

Work with fellow engineers and data scientists to develop and maintain our core product.
Implement our data pipelines (Java, Elasticsearch, Redis, Apache Beam).
Work on the implementation of new features, leaving things properly implemented, well documented and delivered on time.
Always be on the lookout for opportunities to create and improve. From our development process, up to final user’s experiences. 

JOB REQUIREMENT

Solid skills with Java. Python is a plus.
Solid understanding of databases.
Relevant experience with Google Cloud or AWS.
Superior analytical, conceptual and problem-solving skills.
The ability to learn and iterate quickly.
An obsession with agile and lean principles (GitHub, Trello).
Experience with complex text parsing and web scraping a plus.
Experience with data pipelines or ETL a plus.
Education and Experience 
University degree in computer science or similar education.
Minimum 2 years of experience with focus on backend development.
Strong verbal and written communication skills in English. 

WHAT'S ON OFFER

Internal training by ex-Silicon Valley CTO and award winning AI researcher
Singapore visit 2 times per year
Stipend for technical certification and training 
Career path coaching
Flexible hours
Health insurance
15 days vacation
13 month bonus

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:

Product

Technical Skills:

Big Data, Data, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J00287

Status:

Close

Related Job:

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam

Product

  • Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation

View details

Senior Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam

Product

  • Python
  • AWS
  • Spark

Design and provide input on system architectures, contribute to coding standards, and mentor junior engineers. Work with various teams to ensure software solutions meet business requirements, international standards, and objectives. Tackle complex software development and integration challenges, optimizing system performance. Create high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and life sciences applications. Keep up-to-date with new technologies and Python frameworks, particularly in cloud computing. Oversee testing, deployment, and comprehensive documentation of integrated systems. Actively participate in all phases of the software development lifecycle. This includes creating user stories and engaging in sprint planning to align development efforts with business objectives. Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

Data and Insights Manager

Ho Chi Minh - Viet Nam

Product

  • Data Analyst
  • Business Intelligence
  • Data Science
  • Machine Learning

Oversee the data and information system to ensure adequacy, accuracy, and legitimacy of data products such as reports, insights, analytics tools, and models. Implement and oversee data governance and policies. Communicate data visions and strategies across functions and business units. Anticipate upcoming trends and business demands to propose impactful data deliverables. Oversee the pipeline to deliver high-quality, timely, and useful data to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard). Ensure excellence in performing data ad-hoc requests. Identify analytics opportunities to support the growth of the organization. Develop analytics capacities through data and data science techniques, mastering knowledge about customers, products, and the business. Drive data-empowered innovations through ML/AI to improve the efficiency and quality of business and products. Raise awareness of the potential application of ML/AI. Provide data, ML/AI learnings, and strategic input to business visions and projects. Design the framework of AI/ML building, testing, and deployment at a large scale. Ensure the quality and efficiency of ML/AI deliverables.

Negotiation

View details