Data Engineer (Senior) at EPOS

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

29 Mar, 26

Salary

0.0

Posted On

29 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Warehouse, Data Lakes, Business Intelligence, Tableau, Looker, PowerBI, Python, Go, Scala, SQL, ETL, ELT, Data Modeling, Data Quality, Performance Optimization

Industry

Financial Services

Description

Design, develop, and maintain end-to-end data pipelines to ingest, process, and store large volumes of data from multiple sources. Architect and build scalable data infrastructure, including data lakes, data warehouses, pipelines, and metadata repositories. Build, optimize, and maintain data warehouses and data lakes to support analytics, reporting, and downstream data consumers. Ensure data quality, reliability, consistency, and timeliness across the entire data platform. Optimize data processing performance, cost efficiency, and system scalability. Monitor, troubleshoot, and resolve issues related to data pipelines and data infrastructure. Take ownership of critical data systems, continuously improving platform stability, scalability, and maintainability. Collaborate closely with stakeholders and cross-functional teams to design, deliver, and maintain data products and data services. Bachelor’s Degree in Computer Science / Information Technology / Software Development or related fields. Must have: At least 6+ years of hands-on experience in Data Engineering. Strong experience in Data Warehouse and Data Lakes technologies. Strong experience with enterprise BI tools, such as Tableau, Looker, or PowerBI. Strong skills in Python/Go/Scala and SQL are required. Solid experience designing and maintaining ETL/ELT pipelines for large-scale data processing. Good understanding of data modeling, data quality, and performance optimization. Good/Fluent English communication is mandatory. Nice to have: Experience working with cloud-based data platforms (AWS/GCP/Azure). Experience working in Big Data technologies. We are a multinational, product-driven company specializing in proprietary POS solutions — developing in-house and delivering directly to our worldwide customers. Benefits Recognition & Rewards: Performance Bonus (subject to the company’s business results and the employee’s performance evaluation) Biannual Performance Review and Salary Adjustment Comprehensive Insurance Coverage: Full government public insurance contributions based on gross salary Premium health insurance Annual health check Clear career development and growth structure; Training sessions and Learning workshops 14 days of annual leave and one additional day of leave for every year of service Laptop/MacBook and top-notch facilities are provided based on each role Agile/Scrum-based internal workflows for efficient and collaborative development Company trips, parties and regular team-building activities; Weekly happy hour, coffee, snacks, and board games Overseas travel opportunities based on the individual performance and policies for each evaluation period Working Environment & Culture International Workplace: English-speaking environment Positive and Open-Minded Culture: Engineers are encouraged to propose innovative solutions that enhance productivity and code quality 1-on-1 Mentorship: Monthly coffee sessions with managers offer personalized feedback, goal setting, and career development opportunities Flexible Working Hours: Promote work-life balance and individual productivity

Responsibilities

Design, develop, and maintain end-to-end data pipelines and scalable data infrastructure. Ensure data quality and optimize performance while collaborating with stakeholders to deliver data products.