What are the responsibilities and job description for the Data Engineer, OTS DataTech & Learning Solutions position at Amazon?
DESCRIPTION
At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations.
The OTS DataTech team drives the enterprise data strategy, focusing on Data as a Product and supports OTS-wide data and analytics efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.
Key job responsibilities
As a Data Engineer on the DataTech team, you will play a critical role in designing and building the foundational data infrastructure components that empowers OTS product teams with business critical metrics, develop systems and tools to ingest, process data from diverse data sources, data lakes, enable seamless data publish and subscribe, and self-service analytics for business metrics reporting. You will participate in automation of data governance processes and data quality monitoring, support data needs for AI/ML capabilities.
A day in the life
On a day to day you will build and operate a highly scalable data mesh infrastructure, data lake that hosts OTS data and provide access through Data as a Product.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- 3 years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- 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.
