(Junior - Senior) Data Engineer (ETL, Python, Azure)

JOB DESCRIPTION

Support data architecture roadmap by managing data models, data store/warehouse, information management, and advanced data analytics.
Utilize tools and techniques for data management and data quality.
Support DataOps deployments, configurations, and complex data architectures, ensuring documentation meets
current and forecasted needs.
Collaborate and work with data stakeholders to ensure that data and reports meet their business needs.
Develop logical and physical data models for complex projects using both relational and other modeling techniques and approaches.
Developing ETL specifications and mappings to support data conversion and integration from a wide variety of source systems.
Stay up to date with emerging data technologies and provide an understanding of how to adopt and apply new patterns.

JOB REQUIREMENT

General requirements:
At least an intermediate level of English level
Likely having 3+ years of experience depending on how fast of your learning and developing technical capability
Ability to obtain deep knowledge of the project technologies and work independently with minimum guidance
Ability to self-learn and adapt to new technologies quickly
Passion for data engineering, and data technologies. 
Technical requirements:
Fluent in SQL database and ETL process: Extract, Transform, and Load data.
Experience with Python programming language
Experience  with Azure cloud platform (Azure Synapse Spark, Azure Databricks, Azure Data Factory, Azure Data Explorer)
Experience with DevOps tools (Terraform, Ansible, Chef, GitHub, etc)
Nice to have:
Knowledge of the Business Intelligence (BI) / Data Warehousing (DW) industry
Experience with reporting and BI tools such as SSRS, PowerBI
Knowledge of HPCC tool and ECL

WHAT'S ON OFFER

Working in one of the Best Places to Work in Vietnam
Building large-scale & global software products
Working & growing with Passionate & Talented Team
Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting
Attractive Salary and Benefits
Performance appraisals twice a year and Performance bonus
Onsite opportunities: short-term and long-term assignments in U.S, Europe, Asia.
Flexible working time
Various training on hot-trend technologies, best practices and soft skills
Premium healthcare insurance for you and your loved ones
Company trip, big annual year-end party every year, team building, etc.
Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming…
Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,…
Free in-house entertainment facilities (foosball, ping pong, gym…), coffee (latte, cappuccino, espresso) and snack (instant noodles, cookies, candies…)

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, Start up studio

Technical Skills:

Data Engineering, Python, ETL/ELT, Azure

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 1,000 - $ 3,000

Job ID:

J01037

Status:

Close

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning

Develop and test deep learning models for various wireless signal processing tasks including channel estimation, beam alignment, link adaptation, and scheduling. Utilize simulation tools and real-world datasets to create models that can be applied across different wireless scenarios. Build, train, and assess neural networks (e.g., CNNs, Transformers, GNNs) with PyTorch or TensorFlow. Engage in teamwork with researchers and system engineers to incorporate models into complete RAN systems. Enhance model efficiency for real-time processing and hardware acceleration. Participate in model assessment, performance comparison, and deployment preparation on GPU platforms.

Negotiation

View details

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning
  • Management

Manage and expand an engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Supervise the development of deep learning models for various tasks related to RAN. Work with global teams to drive proof-of-concepts and production-quality AI-RAN components. Supervise the integration of AI models into full-stack simulations and/or testbeds using various frameworks. Align project priorities with hardware-software co-design constraints and deployment scenarios. Provide mentorship and guidance to team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details