Data Engineer

JOB DESCRIPTION

Develop and maintain database scripts, functions, stored procedures to support application development.
Assist Application developers/Testers with database activities
Participate in Database design
Develop and maintain ETL solution
Develop, deploy, and maintain BI solution
Process the client’s requests, feedback, and fix the bugs
Troubleshoot database performance-related and tune complex database queries
Review SQL statements and stored procedures written by developers 

JOB REQUIREMENT

Must have
At least 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
Fluency in SQL and experience in Extract, Transform, and Load (ETL) development in SQL
Good knowledge and hands-on experience of using popular ETL tools such as: SSIS, Talend or Pentaho
Good knowledge of MS SQL Server (especially with monitoring, performance tuning, optimization)
Solid skill in developing and optimizing SQL queries, store procedures with MS SQL
Good analyzing skill, be able to analyze, design and initialize database model for small and medium size application.
Experience in designing and developing data integration/ data warehousing/ business intelligence solutions
Have knowledge Data design (Start Schema, Snowflake schema)
Nice to have
Experience with reporting and BI tools such as SSRS, Power BI, Tableau
Experience of using cloud platform (AWS/Azure/GCP)
Experience one of the following programming languages: Python
Interested in data business analysis to build metrics and reports

WHAT'S ON OFFER

Competitive salary and bonuses: You don’t have to pay for your medical – social - unemployment insurance and your personal income tax. We will cover all for you.
Guaranteed 13th month salary.
Loyalty bonus equal to 50% of your monthly NET salary each year after the first working year.
Monthly lunch allowance, free daily fruit – snack – coffee, and sponsored sport clubs.
Premium health insurance & Free annual medical check.
14 days annual leave, add 1 day biennial.
Very clear career path for Engineers so that our client can offer you many online/in-house training courses, not only hard skills/technical skills, but also soft skills. We also sponsor to get technical certificates that you can use for your qualifications.
Enjoy English speaking environment. You will be more confident in your English skills because we offer tuition fee sponsor and English proficiency bonus.
Regular parties & gifts in yearly special days: Team dinners, End Year Party, company trip, team building activities, Christmas, Tet holiday, etc.…
Chance to work with top talents from Switzerland, Germany, Greece, and challenges with latest technologies (microservices, CI/CD, latest version of .NET Core, Angular…), as well as with different business domains (ecommerce, automotive, logistics, insurance, healthcare).
Professional Agile software development.
Exchanging knowledge with 20 internal communities (Java, .NET, PHP, Cloud Computing, Mobile Development, IoT, Cryptocurrencies).

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:

Global Outsourcing

Technical Skills:

Data Engineering, ETL/ELT

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01038

Status:

Close

Related Job:

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

Product Manager (Data & Models)

Ho Chi Minh - Viet Nam


Product

  • Product Management
  • AI

Designing data strategy and model integration for creating efficient data pipelines, evaluation frameworks, and annotation systems to maintain high-performance LLMs. Responsible for ensuring data quality standards and implementing bias mitigation and privacy-preserving techniques. Defining the product's core model roadmaps, taking into account technical feasibility, user needs, and ethical considerations. Collaboration with researchers to incorporate experimental breakthroughs into deployable features. Partnering with Engineering and Research teams to ensure model development aligns with product goals and advocating for transparency in model decision-making to build user trust. Analyzing usage patterns from open-source communities (Discord, Reddit, GitHub) to refine model behavior and address real-world edge cases, contributing to community-driven model evolution. Setting performance benchmarks, cost efficiency, and resource utilization standards for model scalability and reliability.

Negotiation

View details