As a key data solution provider, you will be partnering with Finance and Business leaders to design, build, expand and optimize centralized data solutions. You will be working with massive amount of data, and your big data solutions will be supporting our rapidly growing Ads Business and dynamic business demand for data.
In this role, you will be able to stretch your technical and analytical skills in developing Data frameworks and large database architecture for building orchestration layers and GenAI solutions for reporting tools and statistical models needed to provide key performance indicators and insights for our high-growth businesses.
Key job responsibilities
- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools.
- Improve existing solutions and come up with next generation Ads Finance Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
- Develop new data models and end to end data pipelines.
- Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.
BASIC QUALIFICATIONS
- 2+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience writing and optimizing SQL queries with large-scale, complex datasets
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.