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Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, our mission is to build a new shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. You will have opportunity to closely work with teams who are building Agentic AI powered CX.
You will be responsible for building observability framework and telemetry for next generation of CX powered by LLM's at enterprise scale. As a senior engineer, you'll be a technical leader responsible for architectural decisions and mentoring that shape both our data platforms and team members.
Key job responsibilities
- We're seeking a Senior Data Engineer to lead the technical strategy and architecture of our data products and infrastructure.
- You'll define and drive the technical vision, mentor engineers across multiple levels, and drive innovation in how we process, store, and utilize data across the shopping organization.
- You will lead redefining analytics in the age of agentic experiences and Generative BI.
- You'll own build data systems that can scale to PB and streaming data with 100K TPS
- You will be responsible for building data products that power mission critical analytical reports and metrics for Amazon AI products that are viewed at the highest levels in the organization.
- You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments.
- You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.
- You should have deep expertise in the design, creation, management, and business use of extremely large datasets.
- You will utilize Agentic AI to build data products and solutions
A day in the life
You will be driving architecture decisions on scaling LLM data applications, accelerating the data product release cadence and reducing cost to serve, leveraging AI innovations on data products and systems, design discussion with engineering teams for instrumentation and collaborating with with other internal teams to integrate your data products with theirs.
About the team
Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop.
- 7+ years of data engineering experience
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 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 with big data technologies such as: Hadoop, Hive, Spark, EMR
- Knowledge of large scale distributed systems (e.g., Spark, Hadoop)
- Experience with AI/ML technologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 149010205
Skills:
BigQuery, Python, Sql, dbt, AI Adoption, Alembic, Big Data Engineering
Skills:
Github, S3, Tableau, Data Modeling, Informatica, Sql Development, Unix Shell Scripting, Lambda, Database Design, Version Control Systems, Etl Tools, Python, Aws Services, Database Security, Power Bi, SQL Server, Git, data visualization tools, data quality controls, Oracle databases, Control-M, PL SQL development, Step Functions, T-SQL development, CI CD pipelines, AI-assisted development
Skills:
MongoDB, Pig, Sql, Java, Storm, Postgres, Hadoop, Kafka, Spark Streaming, AWS, Redis, Hive, Cassandra, Python, Nosql, Gcp, Scala, Elasticsearch, Couchdb, Spark, Apache Druid, Flink, Apache Pinot
Skills:
BigQuery, Apis, Dataproc, Sql, ELT, Gcp, Dynatrace, Splunk, DataFlow, Python, Etl, data quality frameworks, Monitoring, Pub Sub, Cloud Composer, dbt, Cloud SQL, GCS
Skills:
probability , T-sql, Adf, Pyspark, SQL Server, SSIS, Statistical Analysis, Python, AI tools, relational modeling, Medallion Data Architecture, Lakehouse development, Marimo notebooks, Microsoft PowerBI, R, BI Warehouse, Microsoft Fabric
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