Data Engineer II, ShipTech Analytics

3 years

4 - 7 Lacs

Posted:1 week ago| Platform: GlassDoor logo

Apply

Work Mode

On-site

Job Type

Part Time

Job Description

DESCRIPTION

ShipTech Analytics (STA) is on a mission to revolutionize Amazon's global transportation network through data-driven innovation and artificial intelligence. Our vision is to be the central nervous system of Amazon's transportation operations, providing real-time insights, diagnostive analytics, and AI-powered decision-making capabilities that drive operational excellence across the network.
As a Data Engineer, you'll be building and scaling mission-critical data products that power worldwide operations business decisions. In this role, you'll drive technical excellence while building data infrastructure and products. You'll be working on scalable solutions that process petabytes of data daily, serving diverse user personas from front-line operators to corporate leadership. We expect you to bring strong technical acumen to solve difficult problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains. Key job responsibilities
  • Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools
  • Build and maintain high-performance ETL processes that handle large-scale, complex datasets
  • Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
  • Transform raw data into actionable insights through effective data modeling and integration
  • Implement best practices in data system creation, data integrity, and documentation
  • Proactively identify opportunities for process improvement and automation
  • Partner with business stakeholders to gather requirements and translate them into technical solutions

BASIC QUALIFICATIONS

  • 3+ years of data engineering experience
  • 4+ years of SQL 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)

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.

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

RecommendedJobs for You