Data Engineer (NumPy, Pandas)

ABOUT CLIENT

Our client is a reputable company specializing in software development and IT consulting services

JOB DESCRIPTION

Enrich structured and unstructured data to create datasets.
Improve data quality and integrity by developing validation tools to assess the effectiveness of data enrichment.
Develop expertise in deep learning and machine learning applications, analyzing and understanding the underlying dynamics and behaviors in the data.
Generate insights from the data and collaborate with the research team to create tradable signals.
Develop utility tools to automate software development, testing, and deployment workflows.
Provide technical support for global researchers, including diagnosing technical problems and proposing solutions to developers.

JOB REQUIREMENT

Proficient in Python (PEP8, Jupyter Notebook, NumPy, Pandas) and/or C++ (STL, OOP)
Strong grasp of software engineering essentials: version control (Git), clean architecture, testing, documentation
Profound knowledge of mathematics, particularly in probability and statistics
Sound proficiency in algorithms and data structures
Capable of solving problems at the level of LeetCode Medium-Hard during live coding interviews
Recognition or accomplishments in programming contests or mathematics Olympiads
Practical and theoretical expertise in deep neural networks and other machine learning techniques
Ability to develop robust data science pipelines and real-time applications
Effective communication skills in English (both spoken and written) to collaborate with global teams
Prior experience as a Data Scientist or Data Engineer in finance or investment settings
Familiarity with Linux/Unix shell and Git
Practical experience with time-series forecasting and analysis

WHAT'S ON OFFER

Come join a diverse, energetic, and innovative team focusing on cutting-edge projects and emerging technologies.
Work alongside global experts and top tech talent to develop and enhance your skills.
Thrive in an environment that values openness, forward-thinking, and innovation, while supporting your full potential.
Competitive salary, 13th month salary, and performance bonuses.
Flexibility to work in a hybrid model, splitting time between the office and remote work.
Comprehensive healthcare and accident insurance.
Annual health check-up package.
Various allowances including lunch, marriage, newborn baby, and bereavement.
Fully equipped pantry with amenities for a comfortable lunch break.
A range of sports and social activities such as yoga, football, badminton, and tech clubs.
Annual company trip and team building activities.
Recognition awards for individuals, teams, and long-term service.
Advanced English and soft skills training for career development.
Monthly events including team gatherings, games, birthday celebrations, and year-end parties.
Company-funded support for personal loans such as home, vehicle, and tuition.

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, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01896

Status:

Close

Related Job:

AI Engineer Lead

Ho Chi Minh - Viet Nam


Outsource

  • AI
  • Python

Spearhead the development and deployment of various applications, pipelines, and workflows tailored for financial services applications. Take charge of critical technical determinations related to model choices, design of retrieval systems, workflow structuring, integration strategies, cost considerations, and latency issues. Develop methodologies for evaluation and regression testing, utilizing data analysis and failure diagnostics to enhance the effectiveness of solutions. Ensure that deployed solutions adhere to production standards encompassing reliability, security, observability, data security, and audit trails. Transform business, risk, and compliance prerequisites into actionable technical solutions in collaboration with clients and internal partners. Provide guidance to engineers, fostering the adoption of standardized AI engineering practices, frameworks, and development methodologies.

Negotiation

View details

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
  • Python

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