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Job Level
About the role
- 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).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringELT processesPythonSQLdata modelingperformance optimizationAirflowDBTAWS S3Terraform
Soft skills
collaborationtroubleshootingproblem-solving