SIEM Engineer - Group Security

ABOUT CLIENT

Our client is a leading financial institution with a strong presence in the banking industry. They provide a wide range of banking and financial services to individuals, businesses, and corporate clients. Their commitment to delivering exceptional customer service and innovative solutions has established them as a trusted and reliable partner in the market.

JOB DESCRIPTION

Collaborate with other technical teams to design, develop, and implement solutions.
Utilize engineering best practices in daily tasks.
Identify and execute process and architecture improvements.
Take action to report and address risk-related tasks as needed for your role.
Manage a team of SIEM engineers to handle data management and support the transition from the current SIEM.
Establish and uphold rigorous processes.
Maintain high engineering standards, including documentation.
Set and maintain a sense of urgency within the team in addressing issues.
Possess a strong background in data processing and storage, alerting, and searching technologies to guide and validate the team’s work.

JOB REQUIREMENT

At least 3 years of experience in engineering or people leadership
At least 5 years of experience in building and maintaining ETL pipelines, data lakes, or SIEM
Familiarity with a range of technologies including Amazon SNS/SQS, Azure Service Bus, Azure Event Hubs, Apache Kafka, Windows Event Forwarder, Syslog, Cribl, Splunk (including Data Modelling), and Data lake (e.g., Data Bricks)
Ideally, experience in leading a team with service management responsibilities
Preferably, experience in the Cyber Security domain
A tertiary qualification in a Technology discipline or related field
Highly valued qualifications and/or certifications in data, engineering, and/or cybersecurity

WHAT'S ON OFFER

Comprehensive compensation and benefits
Competitive salary
Generous annual leave and sick leave
Additional perks like 13th month salary, annual performance bonus, premium healthcare, team activity allowance, welcome kit, and work anniversary benefits
Promising career growth and development prospects
Opportunities to work on innovative projects with contemporary technology, clear career advancement paths, access to digital learning platforms, leadership training programs, specialist capabilities, and sponsored language and training courses
Supportive and inclusive work environment
Flexible work model, modern office spaces, stocked pantry, employee assistance program, team-building activities, and a talented and cohesive team

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:

Product

Technical Skills:

Security, Data, Cloud

Location:

Ha Noi - Viet Nam

Working Policy:

Hybrid

Job ID:

J01730

Status:

Close

Related Job:

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details