Principal Data Engineer

ABOUT CLIENT

Our client is a software company focused in blockchain-technology based in Vietnam

JOB DESCRIPTION

Take charge and develop data pipelines and ETL/ELT workflows using AWS tools for real-time insights and partner integrations.
Design robust, scalable databases and data infrastructure to handle real-time and batch processing with ease.
Create visually appealing dashboards to present key metrics using Tableau, Looker, or QuickSight.
Develop and manage real-time streaming pipelines to ensure seamless data flow.
Implement CI/CD pipelines for automated deployment of data workflows and infrastructure.
Collaborate with app teams to gather the right data, ensuring accuracy and relevance.
Deliver clean, secure, and timely datasets to external partners for easy data sharing.
Mentor and develop a team of data engineers, promoting a culture of innovation and collaboration.
Monitor and optimize data systems for optimal performance and resolve any issues proactively.
Drive adoption of AWS-native tools and modern data stack tech to stay ahead of the curve.
Collaborate with stakeholders on turning business goals into data-driven successes.

JOB REQUIREMENT

A data expert with 8+ years in data or backend engineering and 2+ years leading teams, capable of coding, debugging, and architecting.
Proficient in designing scalable databases, data modeling (OLTP & OLAP), and orchestrating pipelines on AWS.
Skilled in Python and SQL, with a talent for optimizing performance with large datasets.
Competent in creating attractive dashboards using tools like Tableau, Looker, or AWS QuickSight.
Experienced in real-time streaming with AWS Kinesis or MSK to ensure smooth data flow.
Knowledgeable in CI/CD for data pipelines and proficient in automating deployments.
Proven ability to define data requirements, map data flows, and deliver business-critical datasets aligned with KPIs.
A strong leader with excellent communication skills and a track record of building high-performing teams.
Experience with secure data sharing to external partners.
Familiarity with data privacy standards like GDPR or HIPAA.
Exposure to MLOps or analytics engineering workflows.

WHAT'S ON OFFER

Salary review twice a year
Full salary during probation
Additional 13th-month salary and performance bonuses
Comprehensive insurance coverage as per Vietnam Labor Law
Premium healthcare insurance benefits
12 days of annual leave plus extra leave options
Benefits for transportation, meals, and team-building activities
Provided with necessary work equipment
Company trips and team-building events annually
Opportunities for career development and training
Supportive and pleasant work environment
Standard 8-hour workday, Monday to Friday
Stocked pantry with food and drinks
Additional surprise benefits

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:

Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J01892

Status:

Close

Related Job:

AI Engineer Lead

Ho Chi Minh - Viet Nam


Outsource

  • AI
  • Python

Spearhead the development and deployment of various applications, pipelines, and workflows tailored for financial services applications. Take charge of critical technical determinations related to model choices, design of retrieval systems, workflow structuring, integration strategies, cost considerations, and latency issues. Develop methodologies for evaluation and regression testing, utilizing data analysis and failure diagnostics to enhance the effectiveness of solutions. Ensure that deployed solutions adhere to production standards encompassing reliability, security, observability, data security, and audit trails. Transform business, risk, and compliance prerequisites into actionable technical solutions in collaboration with clients and internal partners. Provide guidance to engineers, fostering the adoption of standardized AI engineering practices, frameworks, and development methodologies.

Negotiation

View details

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details