Data Engineer

Job Summary

To support the development of cloud-native data solutions, the full-time Data Engineer will build, maintain, and optimize scalable data pipelines and validation workflows while working remotely.

Key responsibilities

• Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from various sources
• Collaborate with backend and architecture teams to define data transformation flows aligned with reporting application needs
• Implement data quality checks and document data lineage and pipeline logic for audit and reuse

Required qualifications

• Bachelor's degree in computer science, engineering, statistics, or related field
• 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role
• Strong proficiency in SQL and data transformation logic for large datasets
• Proficiency with Python and libraries such as Pandas or PySpark
• Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins)