Наши требования
Bachelor's degree in Computer Science, Engineering, or a related field
3+ years of experience working with PySpark and SQL
2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue
2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto
1+ years of experience building and maintaining pipeline orchestration using Airflow
Strong problem-solving and troubleshooting skills
Excellent communication and collaboration skills
Ability to work independently and within a team environment
A series of evaluations of your technical proficiency and suitability for the role
Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team
Note: Please answer as many questions as possible with this application to accelerate the hiring process