Data Engineer - Remote

Overview

As a Data Engineer at Stellartech, you will play a crucial role in building and maintaining scalable data pipelines that support our educational technology products, ensuring data quality and performance.

In Short

• Build and maintain scalable data pipelines using Python and Airflow.
• Develop and optimize ETL/ELT workflows.
• Define data requirements and shape solutions to business needs.
• Troubleshoot and resolve issues in data workflows.
• Implement best practices for data storage and querying using AWS.
• Document data workflows and processes.
• Work with AWS services such as S3 and Athena.
• Utilize dbt and Airflow for workflow management.
• Monitor and optimize platform performance.
• Engage in CI/CD pipelines and DevOps practices.

Requirements

• Experience with AWS services like S3, Kinesis, and Athena.
• Proficiency in Python and SQL programming.
• Knowledge of ETL/ELT processes and data architecture.
• Experience with monitoring tools for data pipeline reliability.
• Understanding of cloud services and system design.

Benefits

• Impactful work that shapes the future of the company.
• Innovative environment encouraging new ideas.
• Flexible role with remote or hybrid options.
• Health insurance package for hybrid mode.
• Competitive salary and paid time off.
• Collaborative culture with passionate professionals.