Sde, Gale, Agi-central Analytics and R&s
6 days ago
**DESCRIPTION**:
Join our Alexa-Central Analytics and R&S team to pioneer machine learning tools and processes that power AGI's data-driven decisions. You'll develop scalable, self-serve analytics
What You'll Do:
- Design and build high-performance data pipelines, micro-services Alexa's metrics and analytics PB scaled datasets
- Develop logical data models supporting both operational analytics and strategic 3-year roadmap planning
- Ensure data quality, system reliability, and performance optimization for large-scale distributed systems
- Collaborate with Data Engineers, ML experts, SDEs, and product managers to define architecture and technical strategy
What We're Looking For:
- Proven ability to work independently with mínimal guidance on complex technical challenges
- Track record of shipping valuable software in fast-paced, iterative environments while working with teams across different time zones
- Excellent communication skills with both technical and business stakeholders
Nice to Have:
- UI development experience with React JS
- Design collaboration experience with tools like Figma
- Machine learning or data science background
You'll have significant influence on our technical direction while working with a focused team to solve challenging problems in conversational AI analytics. We value self-starters who
can translate complex requirements into elegant, scalable solutions.
Key job responsibilities
- Design, implement, and operate large scale 24x7 services using Java, Python, and AWS services such as EC2, S3, Kinesis, Lambda, DynamoDB, and many more.
- Responsible for the development and maintenance of key back-end components, APIs, data pipelines and data warehouses.
- Will work with business and technical stakeholders to determine end-to-end system design and overall technical strategy
- Will work with other team members to jointly own and optimize the Alexa AI Analytics data pipelines
- Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Support and implement operational excellence best practices. Make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).
- Help your team self-organize and create software development processes and practices that will work best for you and your teammates.
- Will work in an Agile/Scrum environment to regularly deliver high quality software that has a measurable customer value
- Build relationships with your customers, partner teams, and the engineers on your team.
**BASIC QUALIFICATIONS**:
- 3+ years of non-internship professional software development experience
- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- Bachelor's degree or equivalent
**PREFERRED QUALIFICATIONS**:
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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