Data Engineer I, WW FBA Central Analytics

1 - 5 years

12 - 16 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Full Time

Job Description

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.

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