Job Description
The Data Engineer will be the
technical leader responsible for defining the end-to-end data architecture and strategy
for our modern data platform. You will design
scalable, resilient, and secure data solutions
from the ground up, ensuring alignment with long-term business goals. This role requires
deep hands-on expertise (5-7 years)
to both design and
drive the implementation
of the data roadmap, focusing on
performance, integrity, and accessibility
across massive datasets.
Lead the conceptual, logical, and physical data modeling
efforts for the Data Lakehouse, Data Warehouse, and operational data stores, ensuring high quality and optimal performance.
Define the overall data architecture roadmap and technology stack
(Cloud, tools, services) to support high-volume data ingestion, transformation, and consumption across the enterprise.
Design and document
scalable, resilient, and cost-optimized ETL/ELT data integration patterns
for diverse data sources (tourism platforms, social media, internal systems).
Establish and enforce data governance frameworks
, standards, policies, and best practices for data quality, metadata management, lineage, security, and compliance.
Act as the expert consultant and technical mentor
to the Data Engineering team, guiding them on complex implementation, optimization (e.g., Spark tuning), and troubleshooting of data pipelines.
Collaborate with
CTO/Leadership
and business stakeholders to translate strategic business requirements into feasible, high-impact data architecture solutions.
Evaluate and recommend new data technologies, tools, and platforms to ensure the data ecosystem remains cutting-edge and future-proof.
Manage and maintain the overall data security model, including access control and data masking/anonymization techniques.
Your Skills and Experience
Must-Haves:
5 to 7 years of hands-on experience in Data Engineering
focusing on designing and scaling complex data platforms.
Proven track record of designing and implementing end-to-end cloud-native data architectures (Data Lakehouse/Data Mesh)
on
AWS, Azure, or GCP.
Expertise in advanced data modeling techniques
(Dimensional, Data Vault) and their application in highly transactional and analytical environments.
Strong hands-on proficiency
in
SQL
and
Python/Scala
for prototyping and demonstrating architectural patterns.
Deep experience with modern data processing technologies:
Apache Spark (PySpark/Scala) is mandatory
, and workflow orchestration (Airflow).
Solid experience in defining and enforcing
data governance, quality, and metadata management strategies.
Excellent ability to communicate complex architectural concepts to both technical teams (Engineers) and business stakeholders (Leadership).
Preferred:
Experience with
streaming architectures (Kafka, Kinesis)
and real-time data processing patterns.
Certifications in Cloud Data Architect (e.g., AWS Certified Data Analytics - Specialty, Azure Data Engineer Associate).
Working knowledge of
DataOps/MLOps principles
and CI/CD for data deployments.
Why You'll Love Working Here
Be part of the core data team driving Sun Group’s digital transformation journey.
Work with cutting-edge cloud and data technologies, building systems at national scale.
Collaborate with talented engineers, architects, and analysts in an environment that values innovation and knowledge sharing.
Sun Group’s exclusive benefits:
“An cu lac nghiep” policy: full-value commercial apartment granted to employees with long-term tenure
Special Suncare Insurance benefits for employees and loved ones (no fee for employees)
Comprehensive health check-up program at Sun Group International Hospital
Theme-parks/Cable Car (Free tickets), Symphonic music promotion, Hotels \& Resorts promotion, NCB bank special offer, Real Estate product discount, Aviation, etc.