Senior Data Engineer - Ho Chi Minh City, Việt Nam - MODEC

MODEC

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Ho Chi Minh City, Việt Nam

1 tuần trước

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Đức Nguyễn

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Mô tả

MODEC
***- 428 Truong Sa street, Ward 2, Phu Nhuan District, HCMC, Other, Ho Chi Minh- At office- Posted 3 hours ago- Skills:

Python

SQL
Azure

Top 3 reasons to join us:

13th month salary & annual review
Mandatory insurance contribution at highest level
Personal Accident & Termlife insurance

Job description:

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

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.

Your skills and experience:

Educational Qualification & Experience:

BA/BS degree in Computer Science, Computer Engineering, Electrical Engineering or related

technical field

48 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 infrastructureascode 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 largescale data solutions, including data

pipelines and ETL processes on Azure.

Required Knowledge:

Troubleshoot and resolve datarelated issues, performance bottlenecks, and scalability

challenges on Azure

Solid understanding of DevOps principles and experience with infrastructure automation using

tools like Terraform or CloudFormation.

Handson 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 - a) Excellent communication skills with a strong technology focus.
- b) Excellent analytical abilities.
- c) Problem Solving - providing sustainable solutions.

Why you'll love working here:

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

MODEC:

MODEC Management Services Pte., Ltd.