Data Engineering Manager, OTS - Data ANCHOR Team

Description

Join the OTS Data ANCHOR team to build strategic analytics powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for Ops Tech 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.

• Delivery of robust, scalable data solutions supporting OTS data infrastructure.
• Leadership in data governance and quality standards.
• Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
• Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
• Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with OTS business goals.
• Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
• Drive team growth through mentoring, coaching, and career development.

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

At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale,

• 4+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
• 4+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
• 5+ years of data engineering experience
• Experience leading and influencing the data or BI strategy of your team or organization
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

• Experience with big data technologies such as:
  Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)
• Master's degree
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Bachelor's degree, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

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 (Use the "Apply for this Job" box below). 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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, TX, Austin -  -  USD annually

Company -  Services LLC

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