Data Engineer at BetWarrior
Buenos Aires, Buenos Aires, Argentina -
Full Time


Start Date

Immediate

Expiry Date

05 Jun, 25

Salary

0.0

Posted On

03 May, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

JOIN THE TRIBE!

Do you strive for excellence? Do you embrace innovation? Do you fight with fairness and respect?
We are here to create exceptional online entertainment experiences, offering our clients the chance to win in a transparent, safe and responsible way. We are BetWarrior.
We welcome passionate warriors and are currently looking for a Data Engineer. This role will be responsible for designing, building, and maintaining efficient, reliable, and scalable data pipelines that integrate data from various sources into our data platform. You will work closely with BI analysts, and software engineers to ensure that our data ecosystem supports the organization’s needs for timely and accurate information.

Responsibilities
  • Design, develop, and maintain scalable and efficient data pipelines to collect, transform, and load data from various sources (both real-time and batch processing)
  • Build and manage infrastructure for data processing and storage that ensure high availability, scalability, and security
  • Optimize and monitor data workflows and pipelines for performance, troubleshooting bottlenecks, and ensuring low-latency and reliable data delivery
  • Collaborate with cross-functional teams (data scientists, software engineers, analysts) to understand data requirements and implement appropriate solutions
  • Implement and maintain robust ETL/ELT processes, ensuring data quality, consistency, and security
  • Automate and document data flows to improve maintainability and transparency.
  • Ensure data governance and compliance, including data encryption, anonymization, and adherence to regulatory standards
  • Monitor and maintain cloud-based infrastructure, ensuring efficient use of resources and cost optimization
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