Back-End Python Developer

• Maintain current technical knowledge and work to bring new technologies to the team and projects
• Work as part of a development and data science team to bring new products from prototype to production
• Develop data processing and information retrieval tools using programming skills like Java, Python, Scala, and so on
• Functional requirements should be refined and translated into detailed architecture and design
• Keep up with the ever-changing and expanding Big Data field
• Ability to work across multiple technologies and understand how to use various tools for new product development
• In an Agile/Scrum environment, collaborate with cross-functional teams to identify end-user requirements and specifications
• Program and application testing and deployment
• Troubleshooting, debugging, upkeep, and enhancement of existing software
• Compile and evaluate user feedback in order to improve software performance
• Utilize user feedback to make suggestions for improvements to existing software products
• Create technical documentation to serve as a guide for future software development projects

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 6+ years of relevant experience as a software developer
• 4+ years of experience working with Python
• Experience with Scala is a plus
• Familiarity with Java, AWS, Django, Linux, and scripting languages is required
• Experience with web applications, web services (REST APIs), and related ecosystem is necessary
• Quickly understand technical and business requirements and be able to translate them into the technical implementation
• Experience in handling big datasets is highly desirable
• Experience with data engineering and developing Big Data technologies in the Hadoop ecosystem is nice to have
• Nice to have prior background in data science and/or machine learning
• Experience working with Python ML packages and frameworks like PyTorch, scikit-learn, Keras, and TensorFlow is desirable
• Experience developing and implementing end-to-end NLP and Computer Vision models is nice to have
• Prior experience deploying production-level ML code and models on services or frameworks like SageMaker, Heroku, and Flask is desirable
• Nice to have familiarity with Yarn, Kafka, Oozie, HBase, Hive, Spark, HDFS, Docket, Kubernetes, MapReduce, etc.
• Nice to have prior experience with data collection using public APIs
• Working knowledge of JIRA/Confluence, Splunk, Solr, SQL, MongoDB, MySQL, GCP, and NoSQL is desirable
• Excellent English communication skills