Mô tả công việc
Tóm tắt công việc
MEGAZONE Vietnam is looking for a highly skilled Data Engineer with strong experience to join our dynamic global team. The ideal candidate will be responsible for building, and optimizing large-scale data pipelines, ensuring scalability, performance, and reliability. You will serve as a technical engineer and consultant, collaborating closely with external clients, offshore teams, and partners
What You Will Do:
Collaborate with
AI engineers,
data scientists, and business stakeholders to understand data requirements and deliver clean, reliable, well-architectured data
Design and develop distributed data pipelines for batch and streaming data
Build and maintain highly scalable and secure Big Data platforms
Develop data processing jobs using Apache Spark (Spark SQL, DataFrame, Dataset, Structured Streaming)
Optimize data pipeline jobs for performance, memory, and cost
Work with large datasets (TB-PB scale)
Build streaming pipelines using Kafka / Kinesis / Pulsar (if applicable)
Mentor junior engineers and review code to ensure best engineering practices are followed.
Lead technical workshops and training sessions to enable client teams on best practices.
Yêu cầu
Basic Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
1- 5 years of experience in data engineering, Big Data, AI.
Strong understand knowledge of Big data, distributed data, data platform
Strong proficiency in SQL and Python skills.
Experience with cloud platforms: AWS, Azure, or GCP (preferably AWS).
Familiarity with CI/CD, Git, and DevOps practices for data system
Hand-on experience with OLAP: ClickHouse, Redshift, BigQuery, Snowflake (at least one)
Experience with real-time data processing ( Kafka, Kinesis, Spark Streaming..).
Experience deploying data workloads on cloud
Excellent communication and presentation skills to effectively interact with business stakeholders and
clients.
Preferred Qualifications
Knowledge of data security, privacy, and compliance practices.
Experience with Lakehouse architecture
Experience Optimize performance at scale
Exposure to machine learning pipelines and MLOps concepts
Understanding of MLOps best practices and AI model lifecycle management.
Knowledge of data governance frameworks and metadata management.
Thông tin khác
Python
MS SQL
Big Data
Git
OLAP
Apache Spark
AWS Kinesis
AWS Redshift
MS Azure
DevOps
Apache Kafka
AWS
GCP
Snowflake
ClickHouse
MLOps
CI/CD
Google BigQuery
Thông tin chung
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 07/05/2026
