MODEC

2 Phan Dình Phung, Bà Rịa-Vũng Tàu

Company Size : 10-24

Job Summary

10-24
Product
Việt Nam

Senior Data Engineer

MODEC

Vũng Tàu, Bà Rịa-Vũng Tàu
Negotiable
Full Time

English
Experienced (Non-Manager)

Posted:11/06/2025

Expired

Technical Skill: Python , MS SQL , MS Azure , Software development , ETL , ADF , Jenkins , Github , Docker , Data Modeling , Architecture , DevOps , Ansible , Data Warehouse , Kubernetes , Bash , BA , Terraform , AWS CloudFormation , PySpark , DataLake , CI/CD , IAM

Job description

Overview of job

Overall Job Purpose

The Senior Data Engineer will be part of Data Engineering team which is creating, maintaining, scaling and improving the enterprise data platform providing the data for AI/Data Science solutions, applications/tools, and other digital use cases.

Core Responsibilities

Design, develop, and maintain robust, scalable and sustainable data products and build & optimize data pipeline and infrastructure.
Collaborate with stakeholders to understand their data requirements and translate them into technical solutions.
Identify and implement data quality monitoring and validation processes to ensure data integrity.
Implement data quality frameworks and ensure data governance best practices, including data lineage, data documentation, and data security.
Build out the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Synapse, ADF, Spark, Kafka, or similar technologies.
Work closely with Data Analysts and Data Architect to support their data needs and enable advanced analytics and machine learning initiatives.
Contribute to the development of the organization's data strategy, including evaluating new technologies, tools, and frameworks to enhance the data engineering ecosystem.

13th month salary
Retention bonus/ Discretionary bonus
Annual salary review
Medical treatment expenses as per Company’s Healthcare plan
Personal accident & term-life insurance for immediate family member (legal spouse/children)
Annual medical check-up program
16 days of annual leave for 1st one year of service.
Mobile phone allowance
Working equipment: new laptop

Job Requirement

Educational Qualification & Experience:

BA/BS degree in Computer Science, Computer Engineering, Electrical Engineering or related technical field
4-8 years to total IT experience preferably in field of data engineering
4+ years' experience with Azure services including IAM, Synapse, DataLake, SQL Server, ADF etc.
2+ years' experience in creating and deploying docker containers on Kubernetes.
2+ years' experience in supporting development teams on Kubernetes best practices, troubleshooting, and performance optimization.
2+ years' experience with CI/CD pipelines toll such as Jenkins and GitHub Actions
2+ years' experience with Synapse data warehousing and data lake solutions
Strong programming skill in Python, PySpark and SQL
4+ years of experience in scripting and automation using languages such as Bash, Python, or Go2+ years of experience with infrastructure-as code tools such as Terraform, Ansible, or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).
Knowledge of Agile methodologies and software development lifecycle processes
Proven experience in designing and implementing large-scale data solutions, including data pipelines and ETL processes on Azure.

Required Knowledge:

Troubleshoot and resolve data-related issues, performance bottlenecks, and scalability challenges on Azure
Solid understanding of DevOps principles and experience with infrastructure automation using tools like Terraform or CloudFormation.
Hands-on experience with cloud platforms - Azure, and related services (e.g., Synapse, Data Lake, etc.).
Understandings of data warehousing concepts and best practices
Work closely with stakeholders to understand business requirements and translate them into data solution designs.
Strong understanding of data architecture principles, data modelling techniques, and data integration patterns.

Language(s) and Software:

Excellent in English (speaking and writing)

Key Behaviors:
Soft Skills (Professional) List maximum 3
a) Excellent communication skills with a strong technology focus.
b) Excellent analytical abilities.
c) Problem Solving – providing sustainable solutions.

Languages

- English
- Speaking: Advanced - Reading: Advanced - Writing: Advanced

Technical Skill

Python
MS SQL
MS Azure
Software development
ETL
ADF
Jenkins
Github
Docker
Data Modeling
Architecture
DevOps
Ansible
Data Warehouse
Kubernetes
Bash
BA
Terraform
AWS CloudFormation
PySpark
DataLake
CI/CD
IAM

COMPETENCES

Agile
Communication Skills
Analytic Skills
Problem Solving Skills

MODEC

Job Summary

Senior Data Engineer

Job description

Overview of job

Job Requirement

Languages

Technical Skill

COMPETENCES

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BUSINESS PROFILE

MODEC Management Services is an oil & gas service contractor in Vietnam.

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