Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Advertiser Experience (AX) organization owns the experience of the advertiser from the moment they decide to engage with our platform through the full lifecycle of self-service advertising management.
We are looking for an experienced data engineer with a track record of delivering high quality big data pipelines using AWS distributed architectures (e.g., Glue, S3, Spark, EMR, Airflow) and is a great team player who is skilled in stakeholder management. You will be working closely with cross-functional teams (science and SDE) to build robust data pipelines, optimize data processing systems, and deploy machine learning models that power our advertiser facing solutions. This role offers a unique opportunity to contribute to the intersection of data engineering and machine learning in a dynamic and collaborative environment. Your contributions will directly lead to enhanced site wide performance, growth in ad products, innovative new experiences, faster execution for engineering teams, and increased success of Amazon’s fastest growing business.
Strong candidates for this role will have strong problem-solving skills with a keen attention to detail in designing and optimizing data processing pipelines, ability to collaborate effectively with cross-functional teams, excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. If you enjoy working and growing high performance teams, being part of a rapidly growing business, and inventing creative solutions to complex problems, this role is for you!
Key job responsibilities
* Design and implement scalable data pipelines for collecting, processing, and storing large volumes of data
* Collaborate with data scientists, software engineers, and domain experts to evaluate, gather and process data for model training
* Work closely with scientists to integrate machine learning models into production pipelines
* Develop and implement data quality and validation processes to ensure accuracy and reliability
* Optimize and fine-tune models for performance, scalability, and efficiency.
* Work closely with SDE teams to design data solution for API use
* Bar raising the operational excellence of data engineer practice
