Data Engineer II, Ads Billing

Advertising is one of the fastest growing businesses within Amazon empowering Amazon Sellers Vendors Authors and Publishers to boost their product reach and sales through performance and display advertising.
The Ads Billing team (Iron Mountain) is an enabler for SA and ADSP ads worldwide rapid growth and offers a singular platform to manage all of the advertiser facing functions like billing invoicing accounting automation budgets promotions payments and Billing Advertiser Experience(AX) in real-time while being transparent and audit-able from the ground-up. As a part of this high-energy entrepreneurial team you will get an opportunity to innovate on solutions that control the very levers of our advertisers experience and have the satisfaction of seeing your work impacting multiple advertising business and bring in multi-million transactions worth 100x in dollar value on a daily basis. This platform owns these mandates for worldwide advertising displayed On or Off Amazon.

Iron Mountain team is seeking a Data Engineer to help us accelerate our efforts in delivering technology and insights capabilities to Ads Accounting and Finance teams. This role will influence the direction of the business by translating broad business problems into specific analytics projects building and maintaining data pipelines datasets conducting quantitative analyses and communicating results effectively. This individual will help drive scalable robust management of datasets and pipelines to assist Business and Finance leadership with decision-making. As a key data engineering partner this candidate will have significant exposure to Advertising Accounting and Finance Managers and require partnership with a broad set of teams including finance product sales operations and technology. We see a high potential for growth in the role as we transform our data into actionable insights to continue to fuel the growth of our business partners.

Key job responsibilities
- Building data pipelines using SQL Scala PySpark & Python
- Working with AWS & BDT technologies such as Glue S3 Redshift Datanet Cradle etc.
- Web-app development leveraging Flask React or similar technologies
- Building solutions that monitor the quality of data in our pipelines (including anomaly detection)
- Ability to setup and/or manage Airflow Maestro LLMs
- Participating in design reviews and consulting with engineering peers
- Participating in operational support for our products and drive reliability and process improvements
- Optimizing the performance of pipelines using metrics
- Designing and implementing complex pipelines and other Data Engineering solutions

- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines

- 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)

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