Sr Data Engineer, OPS Tech Solutions - Delivery Software Engineering

Operations Technology Solutions (OTS) at Amazon is at the forefront of creating securing and maintaining advanced technical infrastructure and devices. These innovations span across Amazons diverse landscape including Fulfillment Centers Transportation Logistics Specialty Fulfillment Air and Pharmacy sectors. Our skilled operators count on OTS to test certify deploy and sustain state-of-the-art network solutions and end-user equipment at approximately 2500 global sites where Amazon thrives.

Committed to exceeding customer expectations OTS ensures a secure and reliable infrastructure through its extensive network of over 4000 field technicians and engineers. These professionals are vital in managing the daily operations and growth of Amazons vast fulfillment and logistics network.

As an Amazon Data Engineer you will be working in one of the worlds largest and most complex data environments. The data that we consume transform make addressable and vend to automated systems drives resolution decisions. This data is also visualized in UIs and dashboards that are used by thousands of users world-wide.

Our team is responsible for mission critical analytic reports and metrics that are viewed at the highest levels in the organization. We are also working on newer tools that help users discover data using visualization and Big Data technologies. You should have deep expertise in the design creation management and business use of significantly large datasets.

You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You should be an expert at designing implementing and operating stable scalable low cost solutions to flow data from production systems into the data lakes and end-user facing applications. You should be able to work with customers to understand the business requirements and implement reporting solutions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.

This opportunity is perfect for highly motivated and talented data engineers who want to apply and grow their technical depth and breadth while defining and driving key aspects of the customer experience on .







Key job responsibilities
- You will partner with ServiceNow Application Development Engineers and connect the platform with external world through data.
- Develop and maintain data pipelines to ingest data from various sources into the data lake. For example implement ETL processes to cleanse transform and enrich data for analytical purposes.
- Lead development effort focusing on scalability quality and performance.
- Implement data quality controls metadata management and data lineage tracking to ensure data integrity and compliance. Enforce data access controls and security measures to protect sensitive information.
- Implement data governance and security measures to ensure compliance with regulatory requirements and protect sensitive information.
- Monitor data pipelines and systems to identify and resolve issues promptly ensuring high availability and reliability of data infrastructure.
- Stay up-to-date with emerging technologies tools and industry trends in data engineering and contribute to continuous improvement of data engineering practices within the organization.

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 wed still love to hear from you!

At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

About the team
- Our customer is the tech business and partner data engineering teams.
- We obsess over the end user experience and we build our strategy based on the businesss requirements
- We provide solutions to our customers initiatives not barriers. However we cannot allow them to make poor decisions especially in employee safety and information security.

- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.