Key skills
AirflowAWSAzureETLGoogle Cloud PlatformPythonSQLELTData EngineeringData LakeGCPGoogle CloudGitHubCRMAgileCommunication
About this role
Role Overview
- Develop data ingestion pipelines aligned with business needs;
- Perform data cleaning and transformation processes aligned with business needs;
- Document processes and developments;
- Apply data engineering best practices;
Requirements
- ETL/ELT: knowledge of data extraction, sanitization, deduplication, consolidation, aggregation, and data anonymization;
- Experience programming in Python;
- Experience developing SQL queries;
- Basic knowledge of one of the cloud platforms: GCP (preferred), AWS, or Azure;
- Good, respectful communication;
- Organized and proactive;
- Enjoy continuous learning and challenges;
- Communicate clearly and effectively with clients and colleagues across different business areas.
Nice to have:
- Experience with Airflow and GitHub;
- Knowledge of database theory, Data Lake, and Data Warehouse concepts;
- Familiarity with or experience working on projects using Agile methodology.
Tech Stack
- Airflow
- AWS
- Azure
- ETL
- Google Cloud Platform
- Python
- SQL
Benefits
- Meal and food allowance on FLASH card
- Home office allowance on FLASH card
- Health insurance according to your location
- Dental plan according to your location
- Birthday day off + amount deposited to FLASH card
- Extended maternity and paternity leave
- Profit sharing (PLR)
- Life insurance
- Childcare assistance
- Referral bonus
- Transportation allowance
- Clude | Health platform
- Total Pass
- CRM Bonus