Lead 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

Design, create, and maintain scalable data infrastructure, which includes data lakes, pipelines, and metadata repositories, to ensure accurate and timely delivery of data to stakeholders.
Collaborate with data scientists to develop and maintain data models, integrate data sources, and facilitate machine learning workflows and experimentation environments.
Build and enhance large-scale, batch, and real-time data processing systems to improve operational efficiency and align with business goals.
Use Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring.
Utilize AWS services like S3, Glue, EC2, and Lambda to manage data storage and compute resources, striving for high performance, scalability, and cost-effectiveness.
Implement comprehensive testing and validation methods to guarantee the reliability, accuracy, and security of data processing workflows.
Keep updated on the latest industry best practices and emerging technologies in data engineering and data science to suggest innovative solutions and enhancements.

JOB REQUIREMENT

Core Expertise: Proficiency in Python for data processing and scripting (pandas, pyspark), workflow automation (Apache Airflow), and experience with cloud computing services (Glue, S3, EC2, Lambda).
Containerization & Orchestration: Experience working with Kubernetes and Docker for managing containerized environments in the cloud.
Data Engineering Tools: Hands-on experience with columnar and big data databases (Athena, Redshift, Vertica, Hive/Hadoop), along with version control systems like Git.
Cloud Services: Strong familiarity with cloud services for data processing and management.
CI/CD Pipeline: Experience with CI/CD tools for continuous integration and deployment.
Data Engineering Focus (75%): Expertise in building and managing robust data architectures and pipelines for large-scale data operations.
Data Science Support (25%): Ability to support data science workflows, including collaboration on data preparation, feature engineering, and enabling experimentation environments.
Langchain Experience: Familiarity with Langchain for building data applications involving natural language processing or conversational AI frameworks.
Advanced Data Science Tools: Experience with machine learning environments.
Big Data & Analytics: Familiarity with both RDBMS and NoSQL databases.
BI Tools: Experience with enterprise BI tools.
Messaging & Event Streaming: Familiarity with distributed messaging systems for event streaming.
Monitoring & Logging: Experience with monitoring and log management tools.
Data Privacy and Security: Knowledge of best practices for ensuring data privacy and security, particularly in large data infrastructures.

WHAT'S ON OFFER

Offers competitive salary
Salary bands are reviewed annually
Provides 13th-month salary pro rata based on employee's length of service
Monthly lunch allowance of 700,000 VND per employee
Covers monthly parking fee for employee motorbikes
Conducts performance evaluation once a year for performance bonuses and salary increments
Provides private health insurance including accident, outpatient, in-patient, maternity, and dental for permanent employees after 2-month probation
Offers expense claim for eyewear and annual health check-ups
Provides a maximum of 18-day vacation leave per year, with the option to carry over 5 days until the following year
Grants an additional annual leave day for every two-year anniversary
Allocates annual fund for fitness activities based on team's vote
Offers a range of healthy snacks, tea, coffee, milk, and beer on tap
Conducts company townhall meetings every 6 weeks
Engages in CSR activities as per company's CSR guideline
Offers onsite tour/training courses at other offices and client's destination overseas where applicable.

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:

Outsource

Technical Skills:

Data Engineering, Management

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J02046

Status:

Active

Related Job:

Software Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Azure
  • .NET

Designing and implementing API based and event driven integration solutions Designing integration solutions following Azure best pracces and cloud native paterns Building integrations using Azure Integration Services such as Logic Apps, Functions, API Management, Service Bus, and Event Hubs Implementing and maintaining SAP integrations, for example SAP S/4HANA, SAP PI/PO, or SAP BTP Integration Suite Developing and maintaining integrations using C# and the .NET ecosystem Applying Infrastructure as Code practices using tools such as Terraform Ensuring secure authentication, authorization, and API security using OAuth and best pracces Collaborating with architects, developers, and customers to design end to end integration solutions Supporting deployments, monitoring, and conntiuous improvement of integration platforms, ensuring reliability and observability in production environments

Negotiation

View details

Senior .NET Engineer

Ho Chi Minh - Viet Nam


Product

Are you a passionate .NET developer eager to make a real-world impact? Join our InsurTech team and help build platforms that support customers during critical situations such as property damage or unexpected displacement.You will contribute to developing scalable, integration-heavy systems that manage the full lifecycle from insurance claim to accommodation booking and billing. We are looking for a proactive engineer who thrives in a collaborative, fast-paced environment and is motivated to solve complex, real-world problems. Take ownership of complex workflows: Work closely with stakeholders to implement/integrate end-to-end processes from claim intake to booking, stay and pay platform. Build scalable, distributed systems: Develop robust backend services using .NET, focusing on microservices and high system reliability. Work on integration-heavy systems: Integrate with external insurance platforms, accommodation providers, and internal systems using APIs and messaging patterns. Ensure system quality and reliability: Write unit and integration tests, troubleshoot production issues, and maintain high standards for performance and stability. Contribute to continuous improvement: Refactor and optimize existing systems, improve architecture, and adopt best practices in software design. Collaborate in a cross-functional environment: Partner with other engineers such as: Dev, PM, and QA engineers to deliver high-quality solutions. Drive technical documentation: Maintain clear and structured documentation to support system evolution and onboarding.

Negotiation

View details

Locomotion Research Engineer

Others - Singapore


Product

Create and train RL locomotion policies for various movement types Establish and maintain simulation environments using custom actuator models to replicate hardware characteristics Implement domain randomization strategy to address simulation-to-reality discrepancies Validate and fine-tune locomotion controllers in simulation and physical platforms Utilize Data Engine telemetry data to refine simulation parameters Collaborate with different teams on issues related to locomotion performance Contribute to open-source releases of locomotion models, training code, and simulation assets

Negotiation

View details