- 3+ years of experience as a Data Engineer
- Python
- Developing complex ETL processes
- Hands-on experience with Spark for large scale data
- AWS environments (Glue, Step Functions, Lambda, SQS / SNS)
- Bachelor's degree in Computer Science, Engineering, Mathematics, or Statistics
- Redshift
- Kafka
- Microservices
- SageMaker
חולץ מתיאור המשרה · מתעדכן אוטומטית
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןWe are hiring a Data Engineer for a large financial organization located in Lod, offering one work-from-home day
RESPONSIBILITIES:
• Work with large volumes of Data in AI-focused projects
• Develop complex ETL processes and generic infrastructure for managing Data processes
• Work in AWS and On-Prem environments
• Collaborate with Data Scientists on Data-focused projects
• Design and optimize critical Data processes using Python and Spark
REQUIREMENTS:
• 3+ years of experience as a Data Engineer
• Experience with Python and developing complex ETL processes
• Hands-on experience with Spark for working with Large Scale Data
• Experience in AWS environments with services such as Glue, Step Functions, Lambda, SQS / SNS
• Bachelor's degree in Computer Science, Engineering, Mathematics, or Statistics; experience with Redshift, Kafka, Microservices, or SageMaker – an advantage
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 3+ years of experience as a Data Engineer, Python, Developing complex ETL processes, Hands-on experience with Spark for large scale data, AWS environments (Glue, Step Functions, Lambda, SQS / SNS)