Senior Data Engineer, Advertising Datalake
3 weeks ago
Amazon is investing heavily in building a world-class advertising business, and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales.
We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.
We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and a bias for action.
With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
Key Responsibilities- Design, implement, and support data warehouse infrastructure using Apache and AWS (Redshift) technologies.
- Create ETLs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting.
- Use business intelligence and visualization software (e.g., Micro Strategy, etc.) to empower non-technical, internal customers to drive their own analytics and reporting.
- Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.
- Monitor and maintain database security and database software.
- Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management.
- Work with Product Managers, Business Analysts, and a growing global team to help in analyzing data and derive new insights that drive Amazon's consumer marketing global success.
- Manage numerous requests concurrently and strategically, prioritizing when necessary.
- 5+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with SQL.
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Experience mentoring team members on best practices.
- Preferred qualifications include experience with big data technologies such as Hadoop, Hive, Spark, EMR, and operating large data warehouses.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do 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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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.
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