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Mid Data Engineer
hace 3 meses
Key Responsibilities:
- Develop and maintain efficient ETL workflows using Databricks within AWS.
- Optimize data science notebooks for a robust production environment.
- Implement repricing logic for parcel carrier data based on various discount agreements.
- Parse and process data in various formats, including EDI and CSV, across multiple shipping schemas.
- Collaborate actively in a team setting within 2week sprint cycles, contributing to the team's success while working autonomously on assigned tasks.
Requirements:
- Bachelor's degree in Computer Science or a related field, or equivalent experience.
- Databricks
- PySpark
- SQL (Databricks SQL or Spark SQL preferred)
- Git
- Python
Bonus if familiar with:
- EDI, CSV, and JSON data feeds
- Parcel shipping data
- Parcel audit
Benefits:
- Work remotely Monday
- Friday, 40 hours a week (no weekends)
- Vacation: 10 business days a year
- Holidays: 5 National Holidays a year
- Parental Leave
- Health Care Reimbursement
- Active Lifestyle Reimbursement
- Quarterly Home Office Reimbursement
- Payroll Deduction Purchase Plans
- Longevity Bonus
- Continuous Learning Bonus
- Access to Training and Professional Development Platforms
- Did we mention it's REMOTE?
