Data Engineer I, WW FBA Central Analytics
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Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Fulfillment by Amazon (FBA) enables sellers to scale their businesses globally by leveraging Amazons world-class fulfillment network. Sellers using FBA benefit from fast reliable shipping Prime delivery eligibility and hassle-free returnsallowing them to focus on growth while we handle operations. The WW FBA Central Analytics team builds and operates scalable enterprise-grade data infrastructure tools and analytics solutions that power WW FBA business. We partner across global product program and operations teams to unify diverse datasets deliver self-service analytics and develop next-generation capabilities using LLMs to unlock insights.
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 will support the GenAI-powered insights assistant by building pipelines that process unstructured data (knowledge articles and documents) in the S3 Data Lakehouse. Youll manage vector databases that store embeddings helping the AI retrieve relevant info quickly and accurately.
Key job responsibilities
- Develop metadata pipelines to tag documents with freshness ownership and other context for better filtering.
- Implement caching and multi-region replication to reduce query latency.
- Monitor data retrieval accuracy and log source citations to improve AI trustworthiness.
- Automate ingestion and embedding generation for unstructured data into vector databases like Zilliz Pinecone or OpenSearch.
- 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)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
- Strong expertise in AWS Glue Redshift Kinesis/MSK Lambda.
- Hands-on with data contracts lineage tracking and automated QA.
- Familiarity with multi-modal data ingestion (structured unstructured).
- Experience operationalizing cross-region replication and caching strategies.
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 youre applying in isnt listed please contact your Recruiting Partner.
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 will support the GenAI-powered insights assistant by building pipelines that process unstructured data (knowledge articles and documents) in the S3 Data Lakehouse. Youll manage vector databases that store embeddings helping the AI retrieve relevant info quickly and accurately.
Key job responsibilities
- Develop metadata pipelines to tag documents with freshness ownership and other context for better filtering.
- Implement caching and multi-region replication to reduce query latency.
- Monitor data retrieval accuracy and log source citations to improve AI trustworthiness.
- Automate ingestion and embedding generation for unstructured data into vector databases like Zilliz Pinecone or OpenSearch.
- 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)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
- Strong expertise in AWS Glue Redshift Kinesis/MSK Lambda.
- Hands-on with data contracts lineage tracking and automated QA.
- Familiarity with multi-modal data ingestion (structured unstructured).
- Experience operationalizing cross-region replication and caching strategies.
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 youre applying in isnt listed please contact your Recruiting Partner.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
AmaZone Cafe it is a very cosy place, focus on healthy food, where you can delight with your friends and family and try the best Acai, the famous brazillian fruit.
