Data Engineer I
3 days ago
Our charter includes building the foundational pipelines, governance frameworks, and intelligent interfaces that enable internal customers to query, analyze, and act on complex datasets with natural language. This is an opportunity to work on one of the largest, complex, and critical analytics ecosystems, designing solutions that combine massive scale, high reliability, and advanced AI.
We are seeking a Data Engineer I who will contribute to a GenAI-powered insights assistant initiative by developing and maintaining performant ETL pipelines and semantic layers for WW FBA metrics. Your work ensures the assistant's text-to-SQL capabilities deliver accurate, up-to-date structured data insights supporting natural-language query responses.
Key job responsibilities
- Develop and maintain ETL pipelines in Spark to transform and load FBA metrics into the Data Lakehouse.
- Optimize SQL queries for fast, cost-efficient access by AI systems.
- Support dbt semantic models and automate metadata enrichment with Glue.
- Write automated tests to ensure data quality and freshness.
- Build pipelines that add business context metadata to help AI generate accurate SQL queries.
Basic Qualifications:
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications:
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Proficiency in dbt, Airflow/MWAA, AWS Glue, Kinesis.
- Experience building semantic layers or BI models.
- Familiarity with prompt-driven SQL generation and AI-assisted query validation.
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.
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