Data Engineer

Job Summary

To support data-driven initiatives, the remote Data Engineer will design and maintain scalable ETL workflows, automate data transformations, and manage cloud-native data pipelines while leveraging various technologies.

Key responsibilities:

• Design and maintain ETL workflows and automate data transformations using tools like Airflow, DBT, and scripting languages
• Architect and manage cloud-native data pipelines and containerized applications to ensure high availability and scalability
• Extract and process enterprise data from SAP systems to enable downstream analytics in platforms like Snowflake and Databricks

Required qualifications:

• Master's degree in Computer Science, Engineering, or related field
• 6 years of related experience in data engineering
• Experience with AWS services, Kubernetes, and FastAPI
• Proficiency in infrastructure-as-code and CI/CD tools like Terraform and GitHub Actions
• Familiarity with data processing using Kafka and Apache Spark on Databricks