Data Engineer II, Sales Data Services (SDS)

Amazon Inc.; New York (NY); Vor Ort; USD 145.000 - 197.000; Vollzeit

Zusammenfassung

Amazon Advertising in New York, NY is seeking a Data Engineer to design and operate data warehouse/data lake platforms on AWS, focusing on scalable ETL pipelines and analytics-ready data models. You will collaborate with BI, data science, product, and software teams.

The role emphasizes mentoring, cross-team collaboration, and building cost-effective analytic solutions while ensuring data quality and availability for business decision-making.

Qualifikationen

• 3+ years of data engineering experience.
• 3+ years of developing and operating large-scale BI data structures using ETL/ELT processes.
• 3+ years of developing and operating large-scale BI data structures using SQL.
• 2+ years of developing and operating large-scale BI data structures using OLAP technologies.
• 1+ years of developing and operating large-scale BI data structures using data modeling.
• 3+ years of in the job offered or a related occupation experience.
• 1+ years of ETL/ELT (Extract, Transform, Load) experience.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• Experience with data modeling, warehousing and building ETL pipelines.

Aufgaben

• Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
• Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
• Empower internal customers to drive analytics (self-serve reporting) and support ad-hoc reporting when needed.
• Develop deep understanding of vast data sources and know exactly how data to use to solve business problems.
• Manage numerous requests concurrently and collaborate across teams to deliver results.
• Mentor other engineers, influence team culture, and help grow the team.

Kenntnisse

Data engineering

ETL/ELT pipelines

SQL

OLAP technologies

Data modeling

Software development

Ausbildung

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Non-relational databases

Jobbeschreibung

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.

SDS is part of the Sales Intelligence, Technology, & Enablement organization (SITE). We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing , fast APIs and agentic soutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.

Key job responsibilities

• Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
• Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
• Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
• Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
• Mentor other engineers, influence positively team culture, and help grow the team.

A day in the life

You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.

Basic Qualifications

• 3+ years of data engineering experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 3+ years of in the job offered or a related occupation experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• 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 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.

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 https://amazon.jobs/en/benefits.

USA, NY, New York - 145,300.00 - 196,600.00 USD annually