Data Engineer II, WW FBA Central Analytics

- Build dbt-based semantic models representing FBA metrics with business-friendly definitions consumed by RAG. - Automate metadata harvesting with column-level descriptions, ownership tags, and business context for retrieval during text-to-SQL prompts. - Implement lineage tracking tied to Redshift, S3, and Glue to power AI-driven source citations. - Implement fine-grained access controls for embeddings and vector DB access, enforcing compliance . - Build pipelines for proactive quality validation (null checks, distribution anomalies) feeding into AI's feedback loops. - Partner with teams on metric standardization initiatives to avoid ambiguity in AI responses. BASIC QUALIFICATIONS - 5+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - 5+ years in data engineering with experience in AWS and data quality tooling. - Proficiency in SQL, Python, and workflow orchestration (MWAA/Airflow). - Strong knowledge of data quality frameworks. PREFERRED QUALIFICATIONS - 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) - Familiarity with LLM-driven metadata retrieval and semantic layer development. - Experience with audit and lineage tools.

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.