Sr. AWS Data Analyst
Location: Minneapolis, MN (Local Only)
Direct Client/ Long Term
Responsibilities:
- Collaborate with Data Scientists and Data Engineers to operationalize machine learning models, delivering actionable insights for the business.
- Design and build data APIs and data delivery services to support critical operational and analytical applications for internal business operations, customers, and partners.
- Ensure successful development and deployment of model code, data pipelines, APIs, and user interfaces into production environments.
- Troubleshoot and support production applications as issues arise.
- Continuously integrate code into both on-premises and AWS cloud environments.
- Transform data science prototypes into production-ready software products.
- Optimize solutions for performance, scalability, and efficiency.
- Adhere to and implement methodology, standards, and procedures.
- Align solutions with business goals to ensure high customer satisfaction.
- Coordinate with internal and external technology service providers.
- Provide technical consultation to project teams and other departments.
- Mentor and coach junior developers on the team.
Qualifications:
- Bachelor's or master's degree, preferably in a technical or scientific field.
- 5-7 years of hands-on experience in designing, developing, integrating, and running business, big data, and/or data science applications.
- 1-2+ years of hands-on experience working with AWS as a developer.
- Proficiency in Angular, Java, SQL, and building REST APIs.
- Experience with AWS managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API Gateway.
- Experience with infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, CloudFormation).
- Familiarity with automating application deployment, continuous delivery, and continuous integration using tools like Git, GitLab, and Jenkins.
- Proficient in Agile/Scrum methodologies and backlog management tools (e.g., VersionOne, JIRA).
- Strong problem-solving skills and the ability to direct complex technology integrations.
- Excellent written and verbal communication skills, with the ability to engage with employees and management at all levels.
Preferred Qualifications:
- Experience with design patterns and implementing machine learning and data science products.
- Familiarity with microservices architecture and its implementation.
- Experience with loosely coupled front-end modules on AWS.
- Proficiency in deploying and managing infrastructure using Docker, OpenShift, and AWS.
- Knowledge of data engineering and big data experience.
- Experience with Redux/Flux/NgRx store implementation.
- Proficiency in developing, testing, and deploying APIs using Python-based frameworks such as Flask, FastAPI, and GraphQL.
- Experience writing complex SQL queries and working with both SQL (PostgreSQL) and NoSQL (AWS DynamoDB) databases.
- Experience with AWS Machine Learning tools like SageMaker.
- Familiarity with data visualization frameworks like D3.
- Strong focus on business outcomes and teamwork skills.
Additional Information:
- Functional knowledge of the airline industry or airline IT processes is a plus.
- A keen eye for detail.
Vishnu Singh
Email : vishnu@datumtg.com
Phone : 470 451 0404