Python Data Scientist

The most accurate definition of this role is a blend of data engineering & Python development.

Responsibilities:

• End-to-end infrastructure development of Python microservices
• Optimizing process run-time and solving problems in a scalable manner
• Taking a major part in designing and implementing complex high scale systems, data pipelines and algorithms using a variety of technologies
• Working closely with the data science team, to define and implement an automated training pipeline for machine learning models
• Being in charge of development and maintenance of data processing engine
• Provide data engineering capabilities and frameworks to other company team

Requirements:

• BSc. in Computer Science, a related technical field, or equivalent experience
• Deep understanding of Python
• 4+ years of experience as a software developer
• At least 3+ years experience with Python programming language
• Experience with building scalable, high-performance, data-oriented production systems
• Experience with Micro services architecture and communication architecture (MQ)
• Experience with Cloud environments AWS/GCP/Azure/Oracle
• Experience with Mongo – advantage
• Familiarity with Big Data technologies such as Hadoop, Spark, HDFS, Airflow, HBase, etc. – Advantage

Technologies:

• Python, Node.JS
• Kubernetes, Docker, Jenkins, RabbitMQ, Redis
• AWS (EC2, S3, Lambda, Streaming, EMR)