IN
Data Engineer creating data pipelines for Santander's card transactions. Collaborating with an agile team in strategic projects involving Databricks and PySpark.
About the role
- Design and maintain data pipelines, ELT processes, and data warehouse
- Create robust ingestion pipelines with partners
- Build processes for optimal data extraction, transformation, and loading
- Maintain documentation of data architecture and processes
- Implement data models in the data warehouse
- Automate tasks with a robust data orchestration system
- Build integration components across platforms
- Ensure data integrity with alert setups
Requirements
- 5+ years working in Python
- Experience with ELT patterns (e.g., Airbyte, Fivetran)
- Comfortable with data orchestration systems (Airflow, Astronomer, Dagster)
- Expert in SQL and data modeling
- Experience with data modeling and transformation tools (e.g., dbt)
- Proficient in git-based version control
- Experience in architecture and design of data processing systems
- Collaborated with analysts, data scientists, and ML engineers
Benefits
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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