Amazon Data Engineer Marketing Insights Technology 

United States, New York, New York 

705810188

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.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.

- 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)