Data Engineer

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.