Data Engineer I, OTS - Data ANCHOR Team

DESCRIPTION

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact — creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus.

As a Data Engineer, you will collaborate to build and maintain scalable data pipelines and data infrastructure that power AI-driven operational insights and business insights, Science initiatives across Amazon's global fulfillment and maintenance networks. You will build and implement ETL/ELT pipelines, collaborate with Data Scientists, and BIEs to deliver data products that drive measurable business outcomes. You will contribute to AI ready data initiatives and improve our best data practices — including data versioning, pipeline monitoring, and model retraining data support — and help execute against our engineering best practices within the team. You will support day to day business and internal engineering teams by building curated, analysis-ready models and datasets and enabling self-service data access through well-governed data infrastructure. This role directly enables the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations.

Key job responsibilities

• Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.

• Contribute to data governance and quality standards across analytical and ML data products.

• Support implementation automated reporting, diagnostic, predictive, and prescriptive analytics.

• Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.

• Collaborate with Program Managers, BI teams, Data Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.

• Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

A day in the life

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

• Currently has, or is in the process of obtaining, a Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline

• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

• 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

• 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)

• Knowledge of general AI tools

PREFERRED QUALIFICATIONS

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

• Master's degree

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

• Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

The base salary range for this position is listed below. You