
Data Engineer
Amora Group
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
About the role
- Define architecture and deploy a Delta Lake platform for real estate market data at aMORA
- Implement systems for scalable consumption of various existing data sources: CSV files, APIs, and partner feeds
- Expose data in layered models (e.g., DMBOK)
Requirements
- Minimum of 2 years working in data engineering
- At least 2 years of experience with Python and SQL (ANSI)
- At least 1 year of experience with cloud platforms: AWS, GCP, or Azure
- At least 1 year of experience with Airflow or equivalent orchestration tools
- Experience with CI/CD: GitHub Actions or equivalent
- Experience with Agile methodologies (Scrum and/or Kanban) using Jira or equivalent tools
- Nice-to-haves: entrepreneurial experience; experience with Big Data platforms such as Delta Lake, Iceberg, or Hudi; knowledge of Scala; familiarity with AWS services (Athena & Glue); Infrastructure as Code with Terraform; understanding of Clean Code principles, SOLID, and Design Patterns.
Benefits
- PJ (contractor) employment model
- Benefits via Caju
- Eligible for aMORA's Stock Options program
- Flexible working hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLDelta LakeAirflowCI/CDGitHub ActionsAgile methodologiesTerraformClean Code principlesSOLID
Soft Skills
entrepreneurial experience