Requirements:
• 4+ years of experience in Python, designing and developing data products / pipelines
• Good understanding of data structures and data architecture principles
• Working experience with scientific computing packages (numpy, scipy, pandas etc.)
Advantages:
• Working experience with orchestration tools (Airflow)
• Working experience in Spark
• Experience with cloud infrastructure ecosystems (Redshift, AWS EMR, Athena, S3)