Data Analytics and IOT Lead – Python Data Science at Company Name Careers in Atlanta, Georgia

Are you an experienced Data Analytics and IOT Lead with a background in Python Data Science? If so, your search for a job ends here. We are seeking a talented individual to join our team at Company Name Careers in Atlanta, Georgia.

Key Responsibilities:

• Design, develop, integrate, and run business, big data, and/or data science applications
• Work with AWS services with an emphasis on managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API Gateway
• Develop infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, Cloud Formation)
• Automate application deployment, continuous delivery, and continuous integration (Git, GitLab, Jenkins)
• Use Agile/Scrum methodologies
• Write complex SQL queries involving joins and subqueries
• Develop, test, and deploy APIs using Python-based frameworks such as Flask, FastAPI, and/or GraphQL
• Deploy and manage infrastructures based on Docker, OpenShift, and AWS
• Work with AWS Machine Learning tools (e.g., AWS SageMaker)

Key Requirements:

• 6-9 years of experience designing, developing, integrating, and running a business, big data, and/or data science applications
• 1-2+ years of hands-on experience working with AWS as a developer
• Experience developing with Python 3
• Experience using managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API Gateway
• Experience writing complex SQL queries and experience with both SQL and NoSQL databases
• Knowledge of data engineering and experience with big data
• Excellent communication skills with a confident personality
• A Bachelor’s degree is a must

Q: What is the main responsibility of a Data Analytics and IOT Lead?

A: The main responsibility of a Data Analytics and IOT Lead is to design, develop, integrate, and run business, big data, and/or data science applications.

Q: What are the key requirements for this position?

A: The key requirements for this position include 6-9 years of experience designing, developing, integrating, and running a business, big data, and/or data science applications, experience with AWS, experience developing with Python 3, and knowledge of data engineering and experience with big data.