Talend Engineer (Big Data)

ABOUT CLIENT

Our client is a software company that provides SaaS solutions for businesses

JOB DESCRIPTION

Create, test, and implement new ETL pipelines or improvements to existing pipelines in a Big Data environment using Talend
Carry out software development for applications, including new development, maintenance and support, and provide production support
Translate functional requirements into technical designs
Automate the ETL process for various datasets being ingested into the big data platform
Develop and integrate software applications following appropriate development methodologies and standards, applying standard architectural patterns, and considering performance and security measures
Address customer complaints with data and consider suggestions for improvements and enhancements
Make recommendations for technical aspects of projects and system improvements
Ensure compliance with established standards and may advise senior managers on technology solutions.

JOB REQUIREMENT

More than 5 years of relevant IT experience
Over 3 years of development experience specifically with the Talend Data Integration module
2+ years of experience in Talend Administration Center, Data Quality, API Designer and Services, and Big Data Frameworks modules
2+ years of hands-on experience with Hadoop, Hive, HDFS, and Oracle RDBMS
Proficient in database schema, object management, data modeling & architecture, and data warehouse design
Strong knowledge of Java programming and PL-SQL
Proficient in API integration (REST)
Familiarity with Unix/Linux and Shell script
Competent in source-code control using a tool such as GitLab
Experience with CI/CD and DevOps development following secure coding practices
Additional expertise in performance tuning is an advantage
Familiarity with emerging cloud technologies related to Big Data is an added bonus
Previous experience in the Finance/Banking industry would be an advantage
Willingness to undertake any additional job duties as required

WHAT'S ON OFFER

Comprehensive healthcare coverage
Dental care benefits
Generous paid leave policy
Support for new parents
Assistance with childcare costs

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, ETL/ELT, Big Data

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J01507

Status:

Close

Related Job:

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam


Product

  • Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation

View details

Senior Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam


Product

  • Python
  • AWS
  • Spark

Design and provide input on system architectures, contribute to coding standards, and mentor junior engineers. Work with various teams to ensure software solutions meet business requirements, international standards, and objectives. Tackle complex software development and integration challenges, optimizing system performance. Create high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and life sciences applications. Keep up-to-date with new technologies and Python frameworks, particularly in cloud computing. Oversee testing, deployment, and comprehensive documentation of integrated systems. Actively participate in all phases of the software development lifecycle. This includes creating user stories and engaging in sprint planning to align development efforts with business objectives. Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

Data and Insights Manager

Ho Chi Minh - Viet Nam


Product

  • Data Analyst
  • Business Intelligence
  • Data Science
  • Machine Learning

Oversee the data and information system to ensure adequacy, accuracy, and legitimacy of data products such as reports, insights, analytics tools, and models. Implement and oversee data governance and policies. Communicate data visions and strategies across functions and business units. Anticipate upcoming trends and business demands to propose impactful data deliverables. Oversee the pipeline to deliver high-quality, timely, and useful data to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard). Ensure excellence in performing data ad-hoc requests. Identify analytics opportunities to support the growth of the organization. Develop analytics capacities through data and data science techniques, mastering knowledge about customers, products, and the business. Drive data-empowered innovations through ML/AI to improve the efficiency and quality of business and products. Raise awareness of the potential application of ML/AI. Provide data, ML/AI learnings, and strategic input to business visions and projects. Design the framework of AI/ML building, testing, and deployment at a large scale. Ensure the quality and efficiency of ML/AI deliverables.

Negotiation

View details