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oracle

Consultant, Data Engineering

Dell
Bengaluru, IND
Full-time
Mid
Onsite
Discovered 1 weeks ago
airflowawsdatabricksdelta-lakeicebergjava

Full Job Posting

Qualifications

  • Take the first step towards your dream career
  • Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
  • Essential Requirements
  • Lakehouse platforms - Databricks, IOMETE, or similar. In-depth Spark - massive-volume data processing and fine-tuning.
  • PySpark, Java, and Python. Table formats - in-depth knowledge of Iceberg, Delta Lake, or similar.
  • Advanced querying on RDBMS - complex data retrieval across Teradata, Oracle, SingleStore, and SQL Server.
  • Deep understanding of data integrity and consistency. Workflow frameworks - Airflow, AWS Step Functions, or similar.
  • Chunking, embeddings, and vector databases. S3-compatible storage.
  • Desirable Requirements
  • Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree preferred.
  • Mongo DB

Responsibilities

  • You will:
  • The medallion pipeline. Take landed data through Bronze → Silver → Gold — conforming structured sources and extracted content to Gold within its freshness SLA, with traceable lineage at every hop.
  • Entity resolution. Own the resolve gate that turns many sources into one canonical identity — the join everything downstream depends on.
  • Model-based extraction lanes. Build the NLP- and LLM-assisted lanes that pull structure out of unstructured content across many content types — HTML, PDF, DAM assets, and more — tagged as evidence, not fact.
  • Provenance and trust. Tag provenance and trust tier on every record. Quarantine what fails the gate with its reason attached, rather than silently dropping it.
  • Performance at scale. Keep high-volume data in the lakehouse — and the served layer — lean and fast.

Preferred Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree preferred.

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