обновлено 11 дней назад
Data Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Fintech): Building and optimizing centralized data systems, pipelines, warehouses, lakes, and analytics tools with an accent on Python, SQL, AWS, ETL, and complex datasets. Focus on designing scalable data delivery architecture, securing data across national boundaries, and solving cross-functional business data challenges.
Location: Kuala Lumpur, Malaysia; hybrid workplace
Company
is a global fintech company building ethical, accessible, and interest-free financial products, including Shariah-compliant investments and riba-free savings alternatives.
What you will do
- Build and maintain centralized data systems, including data pipelines, warehouses, lakes, and data hubs.
- Assemble complex datasets and develop extraction, transformation, and loading infrastructure from diverse data sources.
- Use SQL, event-based systems, and AWS big data technologies to optimize data flow and delivery architecture.
- Create analytics tools and reports supporting customer acquisition, operational efficiency, and business performance analysis.
- Support data-related technical issues across cross-functional teams and create tools for product development.
- Keep data separated and secure across national boundaries, data centers, and AWS regions.
Requirements
- 3–5 years of experience in data engineering.
- Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- Strong Python coding and advanced SQL skills.
- Experience with big data systems, data pipelines, data architectures, datasets, and ETL tools.
- Familiarity with AWS, Linux, NoSQL databases such as Elasticsearch, and event-streaming platforms such as Kafka.
- Strong analytical, communication, project management, organizational, and cross-functional collaboration skills.
Culture & Benefits
- Hybrid work in Kuala Lumpur.
- Opportunity to work on ethical, interest-free financial products.
- Collaboration with engineering, analytics, product, and other business teams.
- Environment that values pragmatism, continuous learning, attention to detail, and independent work.
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