Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

3 hours, 48 minutes ago
Azumo

Azumo

Azumo is a top-rated nearshore software development company offering world-class outsourcing solutions for web, mobile, data, AI, and cloud services with a focus on data, cloud, and AI technologies.

Internet Software & Services
51-250
Founded 2016

Description

  • Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS.
  • Improve ingestion pipeline quality, reliability, scalability, and governance.
  • Develop and optimize core data models and foundational data tables.
  • Build analytics-ready datasets for player insights, publishing analytics, esports analytics, and operational reporting.
  • Implement data governance, data quality, lineage, and observability practices.
  • Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making.
  • Optimize large-scale data processing workflows for performance and cost efficiency.
  • Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics.
  • Contribute to unifying fragmented data ecosystems across multiple game teams and organizations.
  • Build and maintain orchestration workflows and scheduling systems.

Requirements

  • Strong experience with Databricks.
  • Strong SQL and Python programming experience.
  • Experience building scalable ETL/ELT pipelines.
  • Experience with AWS data ecosystem and cloud-native architectures.
  • Experience with DBT, Apache Airflow, or similar orchestration tools.
  • Strong understanding of data modeling and analytics engineering.
  • Experience working with large-scale structured and semi-structured datasets.
  • Experience implementing data governance and data quality practices.
  • Experience optimizing pipeline performance and scalability.
  • 5+ years of experience in data-related and data management responsibilities.
  • BS or Master’s degree in Computer Science, a related degree, or equivalent experience.
  • Deep expertise in designing and building data warehouses and big data analytics systems.
  • Practical experience manipulating, analyzing, and visualizing data.
  • Professional English proficiency (B2/C1).
  • Gaming industry experience is preferred.
  • LiveOps or telemetry pipeline experience is preferred.
  • Experience supporting analytics for player behavior, engagement, monetization, or publishing systems is preferred.
  • Experience with real-time or streaming data systems is preferred.
  • Experience with viewer analytics or esports data ecosystems is preferred.
  • Experience with KPI reporting and operational dashboards is preferred.
  • Familiarity with cost optimization and cloud infrastructure analytics is preferred.
  • Experience working in fast-paced product engineering organizations is preferred.

Benefits

  • Paid Time Off.
  • Mentored Career Development.
  • U.S. Holidays.
  • USD remuneration.
  • Profit sharing.
  • Maternity coverage.
  • 100% remote work.

Interested in this position?

Apply directly on the company website

Apply Now

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