Srbie Fio Analytics jobs at Amazon in India

Key job responsibilities
• Lead documentation improvement initiatives across multiple operational processes
• Collaborate with cross-functional teams to update and maintain knowledge management systems
• Support business intelligence and data analytics projects
• Assist with system configurations and operational support
• Manage and track issue resolution across various platforms
• Partner with logistics service providers on operational improvements
A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- • Currently enrolled in a Bachelor's or Master's degree program in Supply Chain Management, Logistics, Business Analytics, Engineering, or related field
- • Strong analytical and problem-solving skills
- • Excellent written and verbal communication abilities in English
- • Experience with data analysis and process documentation
- • Proficiency in Microsoft Office suite

- • Previous internship experience in program management, supply chain operations, and/or technical documentation
- • Familiarity with wiki platforms and documentation systems
- • Working knowledge in business intelligence/analytics (e.g. SQL, Python, etc.)
- • Experience in global transportation and/or logistics operations
- • Strong organizational skills with ability to manage multiple priorities

Key Focus Areas:
• Developing AI-powered systems for automated product safety assessment and compliance verification
• Building intelligent catalog management solutions using natural language processing and computer vision
• Creating generative AI tools to enhance seller safety and compliance processes
• Designing scalable architectures that combine traditional services with AI/ML capabilitiesThe Ideal Candidate Will Have:
• Strong software engineering fundamentals and experience with distributed systems
• Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs)
• Experience with AI model deployment, optimization, and monitoring in production environments
• Ability to tackle complex problems through data-driven experimentationWhat We Offer:
• Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce
• Exposure to global markets and diverse technical challenges
• Full-stack development experience across AI and traditional systems
• Collaboration with international teams of applied scientists, engineers, and product managers
• Innovation-focused environment with emphasis on continuous learning and experimentationKey job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

- 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

This is a technical lead role responsible to design, implement and scale: (1) Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements, (2) Permissions strategy, (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks, and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms.
- Build and manage ML pipelines, adapting CI/CD practices, model deployment, orchestration.- Define technical requirements for Data Engineering teams.
- Work in a genuinely global environment.

- Data engineering credentials.
- Advanced analytical skills and is detail-oriented, while also seeing and understanding the big picture.
- UI and UX design experience.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.

Key job responsibilitiesA day in the life
You will work in one of the complex data environments and will innovate on behalf of our advertising customers. You will bring data together to answer business questions and guide our businesses by pushing the boundaries of data analytics and science to solve analytics problems in a fast-moving environment. You will collaborate with internal partners from tech, science, sales, marketing, finance, and other cross-functional teams to deliver successfully against high organizational standards.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

- 4+ years of SQL experience
- 7+ years of business intelligence and analytics experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

As a Data Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Pricing. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Analysts and Retail business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release. In addition, you will provide technical leadership and mentoring for a team of highly capable Data Engineers.
Key job responsibilities
1. Own design and execution of end to end projects
2. Own managing Amazon Pricing services data infrastructure
3. Build end to end Data Pipeline for Amazon Pricing5. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs

- 2+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Bachelor's degree or equivalent

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Key job responsibilities
- Design, implement, and maintain data infrastructure for enterprise-wide analytics
- Extract, transform, and load data from multiple sources using SQL and AWS big data technologies
- Deliver results independently while meeting deadlines
- Research and implement new AWS technologies to enhance system capabilities

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL