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aws sql python dbt airflow📋 Description
- Maintain and enhance ETL pipelines across 123 SSIS jobs spanning 8 data domains
- Manage data ingestion from S3, Azure Blob, SFTP, APIs, and more
- Investigate, debug, and resolve pipeline failures in production
- Develop and optimize data transformation logic, understanding why
- Implement data quality checks, validation rules, and error handling
- Monitor pipeline health and observability
🎯 Requirements
- Proven experience in ETL pipeline design and maintenance in production
- Hands-on experience with SSIS, Prefect, Airflow, dbt, or Azure Data Factory
- Strong SQL and Python skills
- Experience with data ingestion across multiple patterns — cloud storage, SFTP, APIs, and real-world messy/fragile sources
- Solid understanding of data transformation logic and data modelling principles
- Experience with data quality, validation, error handling, and monitoring
🎁 Benefits
- 100% Remote Work
- WFH allowance: Monthly remote support
- Career Growth: 360º feedback program
- Training: Time for tech training and courses
- Mentoring Program: Mentor or be mentored
- Zartis Wellbeing Hub (Kara Connect)
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