Data Engineer designing, developing, and maintaining scalable data pipelines for Growe Talents in iGaming and Entertainment. Collaborating with analytics and engineering teams to deliver solutions.
Responsibilities
Design, develop, and maintain scalable data pipelines using Airflow;
Create and optimize tables in Athena, ensuring efficient query performance and cost-effectiveness;
Write and manage SQL transformations in DBT, building reusable and well-documented models;
Optimize data workflows for performance, reliability, and cost-efficiency;
Automate infrastructure provisioning using Terraform for data processing environments;
Ensure data integrity and consistency through monitoring, validation, and error handling;
Collaborate with analytics, BI, and engineering teams to understand data needs and deliver solutions;
Troubleshoot and resolve data pipeline issues in a timely manner.
Requirements
1+ years of experience in data engineering with a focus on ELT processes;
Good expertise in Python, SQL, data modeling, and performance optimization;
Experience with Airflow DAGs for workflow orchestration;
Experience with DBT for data transformations and modular modeling;
Understanding of AWS S3, Athena, and data lake architectures;
Familiarity with Terraform for infrastructure automation (will be a plus).
Benefits
Health & Wellness Focus
Global Medical Coverage
Growth Opportunities
Benefits Programs (compensation for the gym/stomatology/psychological service & etc.)
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