7 дней назад
Data Engineer (iGaming)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (iGaming): Building scalable data pipelines and optimized datasets from casino source systems with an accent on Python, Node.js, ETL orchestration, and analytical data modeling. Focus on processing large volumes of transactional data, ensuring data quality and observability, and resolving pipeline failures and performance bottlenecks.
Location: Austin, Texas, United States
Company
develops mobile and casino games and related entertainment content using technology and innovation.
What you will do
- Build and maintain scalable data pipelines that extract data from casino source systems, transform it, and load datasets for analytics and downstream applications.
- Write production-quality Python and Node.js code focused on reliability, performance, and maintainability.
- Develop data models for business domains and analytical use cases.
- Use ETL orchestration tools to schedule, monitor, and manage production workflows.
- Optimize queries and data processing for large volumes of transactional data.
- Validate, test, and monitor pipelines; investigate data quality issues, failures, and performance bottlenecks.
Requirements
- 4+ years of professional experience in data engineering or a related field.
- Strong SQL skills and hands-on experience with analytical or reporting data modeling.
- Professional experience with Python and Node.js for data processing and pipeline development.
- Experience with ETL orchestration platforms and production data workflows.
- Understanding of ETL/ELT patterns, Linux environments, data quality, and pipeline reliability.
- Ability to work independently, document technical decisions, and communicate data concepts to non-technical collaborators.
Nice to have
- Experience with graph databases such as Neo4j.
Culture & Benefits
- Collaborative environment focused on technical excellence and continuous growth.
- Potential eligibility for annual bonuses and incentives depending on role and location.
- Health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits may be available.
- Compensation is determined by skills, experience, qualifications, and location.
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