Data Engineering Leader for High-Performance Data Pipelines
4 days ago
This role is a critical part of Amazon Ads organization, focused on driving automation and innovation in data engineering. As a Data Engineer II, you will lead efforts to envision, build, and deliver high-performance, fault-tolerant data pipelines that empower stakeholders to make data-driven decisions.
The ideal candidate will have 3+ years of experience in data engineering, with expertise in designing big data architectures, developing end-to-end automation of data pipelines, and creating automated alarming and dashboards to monitor data integrity. Strong collaboration and communication skills are essential for success in this role.
Key Responsibilities- Design and deliver big data architectures for experimental and production consumption between scientists and software engineering teams.
- Develop the end-to-end automation of data pipelines, making datasets readily-consumable by science and engineering teams.
- Create automated alarming and dashboards to monitor data integrity.
- Collaborate with internal and external partners to translate business inquiries into an analytical framework using BI tools.
- Support designing and analyzing statistical tests (e.g., A/B tests) and applying statistical methods to inform data-driven decisions.
- 3+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with SQL.
- 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 inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. We value diversity, equity, and inclusion in our workplace and strive to create a welcoming environment for all employees.
Salary RangeWe offer a competitive salary range of $140,000 - $180,000 per year, depending on location and experience. This estimate includes base salary, bonuses, and stock options, as well as benefits such as health insurance, retirement plans, and paid time off.
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