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Consultant, Data Quality Analytics

Dell Technologies
Bengaluru, IND
Full-time
Senior · 12–15 years experience
Onsite
Discovered 1 weeks ago
grafanakibanasplunksql

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
  • Strong data-analysis background - SQL-fluent, comfortable tracing data across systems and turning messy signals into clear, trustworthy views. Comes with 12-15 years of experience.
  • Hands-on experience building report and monitoring dashboards (Splunk, Elastic / Kibana, Grafana, or similar). Experience with data quality, lineage, or data governance - measuring completeness, freshness, and drift, and evidencing it.
  • Familiarity with data provenance and PII / sensitivity concepts - enough to report on them accurately.
  • Comfort with knowledge graphs and semantic data - the substrate you'll trace and query (SPARQL a plus).
  • Strong communication - you make trust and readiness legible to engineers, auditors, and leadership alike.
  • Desirable Requirements
  • Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
  • Certifications or vendor credentials for data quality or cloud data platforms.

Responsibilities

  • You will:
  • Lineage & traceability. Trace every served fact back to its source and transformations - the record that makes the layer explainable and auditable.
  • Quality signals. Measure completeness, freshness, and schema drift across the layer's data products, and track them against their SLAs.
  • Active-metadata dashboards. Build and own the dashboards (Splunk, Elastic / Kibana, SQL) that keep trust, freshness, and quality signals live for the engineering teams and for leadership.
  • AI-readiness evidence. Assemble the conformance evidence that shows each data product meets the AI-ready data standard - at every phase gate, across all its dimensions.
  • Trust & compliance reporting. Surface trust-tier coverage, provenance completeness, and PII / sensitivity-labeling status - the evidence audit and governance rely on. Grounding discipline. Nothing ships ungrounded; you flag anything that can't be traced back to a source.

Preferred Qualifications

  • Comfort with knowledge graphs and semantic data - the substrate you'll trace and query (SPARQL a plus).

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