Senior/Lead Core Data Engineer

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Implement technical infrastructure for compliance initiatives such as SOC 2 and GDPR, including building systems for a future data catalog and managing data access.
Design and develop scalable data pipelines for batch and event-driven data ingestion to facilitate real-time analytics and machine learning feature capabilities.
Establish foundational patterns for data quality monitoring, including automated freshness and integrity checks for critical data assets to enhance trust and reliability in the data.
Proactively lead the migration of analytical workloads from a shared production cluster to a scalable cloud data warehouse, such as Snowflake.

JOB REQUIREMENT

At least 7 years of experience in data engineering, emphasizing the construction and management of core data platforms.
Specialization in Modern Data Warehousing: Proven expertise in designing, constructing, and maintaining robust and scalable data warehouses such as Snowflake, BigQuery, or Redshift.
Proficiency in Event-Driven Architectures: Hands-on experience with real-time data processing technologies and patterns (e.g., Kafka, Kinesis, Flink, Spark Streaming).
Extensive Knowledge of Database Operations: Strong comprehension of database performance tuning, monitoring, disaster recovery, and the operational considerations of large-scale data systems.
Experience with Data Governance & Compliance: Hands-on involvement in creating technical solutions to meet compliance requirements like SOC 2 or GDPR, including data access controls and cataloging.
Pragmatic Problem-Solving Skills: Demonstrated ability to select appropriate solutions without over-engineering, while ensuring robustness in a startup environment. Proficiency in SQL and Python.
AWS Experience: Familiarity with core AWS services used in a platform context (RDS, S3, IAM, Kinesis, etc.). Experience using dbt (Data Build Tool) for data transformations in a production environment is highly desirable.
Infrastructure as Code Experience: Familiarity with tools such as Terraform for managing data infrastructure.
Experience in a Startup Environment: Comfortable working in an ambiguous and fast-paced setting.

WHAT'S ON OFFER

Generous salary package
Additional month's salary
Performance-based bonuses
Access to professional English training
Comprehensive health insurance
Ample annual leave opportunities

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Information Technology & Services

Technical Skills:

Data Engineering, Python, AWS

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00685

Status:

Active

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning

Develop and test deep learning models for various wireless signal processing tasks including channel estimation, beam alignment, link adaptation, and scheduling. Utilize simulation tools and real-world datasets to create models that can be applied across different wireless scenarios. Build, train, and assess neural networks (e.g., CNNs, Transformers, GNNs) with PyTorch or TensorFlow. Engage in teamwork with researchers and system engineers to incorporate models into complete RAN systems. Enhance model efficiency for real-time processing and hardware acceleration. Participate in model assessment, performance comparison, and deployment preparation on GPU platforms.

Negotiation

View details

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning
  • Management

Manage and expand an engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Supervise the development of deep learning models for various tasks related to RAN. Work with global teams to drive proof-of-concepts and production-quality AI-RAN components. Supervise the integration of AI models into full-stack simulations and/or testbeds using various frameworks. Align project priorities with hardware-software co-design constraints and deployment scenarios. Provide mentorship and guidance to team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details