Data Engineer, Marketing Insights Technology
DESCRIPTION
Amazon Advertising’s Marketing Insights Technology (MINT) team is looking for a data engineer to help us change the way we create, automate and distribute advertising insights to our customers. The MINT team’s vision is to build products and services that surface recommendations and insights, and tools that drive scale through automation. We categorize our products under two broad categories based on their function and customers (1) Insights and recommendations creation (I&R), (2) Insights scaling and enablement.
Our team within MINT allows account teams to quickly find the right insights to help advertisers develop their advertising strategy and take meaningful actions. We do this by delivering the search & discovery experience for relevant recommendations & insights at the right moment in time via the most appropriate channel.
As a Data Engineer on our team, you will be instrumental in transforming our content publishing ecosystem while championing data-driven decision-making across the organization. Your role will focus on two key areas: optimizing content publishing workflows and leading operational analytics initiatives. Collaborating with fellow Data Engineers and Business Intelligence Engineers, you'll architect and implement robust data pipelines that support MINT's strategic measurement objectives.
A crucial aspect of your role involves publishing comprehensive usage data that enables external teams to develop custom reporting solutions. You will also partner with the Sales AI team on upcoming Generative AI features, enhancing our insight recommendations and delivering significant productivity improvements for account teams. Your deep analysis of feature usage and telemetry data will provide valuable insights that shape our product development roadmap.
This position offers a unique opportunity to combine technical expertise with strategic thinking. Your work will directly influence content delivery efficiency and drive data-informed decisions throughout the organization. We're seeking a candidate who brings strong analytical capabilities, exceptional stakeholder management skills, and an enthusiasm for tackling complex data challenges. Your contributions will be essential in shaping how we deliver insights that drive business impact for our advertisers.
Key job responsibilities
As an engineer on the team, you will be responsible for leading the architecture, design, development, and launch of core product features. You will:
* Own the development and maintenance of data integration, data pipelines and data lake solutions.
* Develop code driven data ingestion and data lake solutions
* Implement scalable data models for serving data needs of science, business intelligence and engineering teams
* Collaborate with senior engineers to improve existing data ingestion, transform and storage solutions.
• Share in the ownership of the technical vision and strategy of our products.
•Effectively communicate with various teams and stakeholders, escalate technical and managerial issues at the right time and resolve conflicts
• Collaborate with top-notch, multi-disciplinary technical professionals (e.g., Software Development Engineers, Data Scientists, and Product Managers) to deliver on behalf of customers.
A day in the life
* Use your expertise to improve existing data pipelines running in Amazon data platform solutions Datanet/Cradle and AWS compute (Glue, EMR, Airflow).
* Implement highly optimal data models that can serve data needs of science and reporting teams.
* Collaborate with other engineers in reviewing new data pipeline and data infra designs.
* Actively contribute to team's documentation of data artifacts and learning.
BASIC QUALIFICATIONS
- 1+ years of data engineering 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)
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.