Data Engineer

Responsibilities

• Design, build, and maintain scalable ELT pipelines to integrate data from diverse sources, optimizing for performance and cost efficiency.
• Develop data related software services, handling the entire lifecycle including design, implementation, testing, and maintenance.
• Collaborate with data analyists and other software teams to understand data needs and ensure data solutions meet business requirements.
• Optimize data processing workflows for performance and scalability.

• Proficiency in Python and SQL
• Experience with ELT/ETL processes.
• Strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data.
• Experience leading and designing data solutions end-to-end, integrating with multiple teams, and driving tasks to completion.

• Familiarity with Snowflake, DBT and Airflow.
• Experience with AWS services such as: S3, Lambda, Event Bridge, Athena, Dynamo
  
  DB, Firehose etc
• Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
• Python 3 y
• SQL 5 y
• Snowflake 1 y
• dbt 1 y
• Airflow 1 y

Pagaya is a financial technology company that enables financial institutions to expand access to more customers through its artificial intelligence network