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7-15 Years
₹ 144 - 216 LPA
Quick Apply
  • Posted a month ago
  • Over 200 applicants have applied

Job Description

Primary Responsibilities

  • Ingest & clean messy customer support data From Bliss, Salesforce, Sprinklr, JIRA, etc.
  • Fix fragmentation & missing metadata Understand why data doesn't align across systems.
  • Build reliable ETL/ELT pipelines Zero‑downtime, monitored, failure‑proof.
  • Work with operations teams Push back when source logging is broken.
  • Build business logic for downstream datasets Understand how CS operations work.

Required Competencies

  • Strong SQL + Python/PySpark
  • Big data tools: Hadoop, Hive, Spark, Kafka (basic familiarity is enough).
  • Comfort with messy, unstructured data
  • Understanding of business operations (Customer Support)
  • Ability to ask the right questions (Why is this field missing, Why does this dataset not align)
  • Understanding of vector databases is nice to have.

Soft Skills

  • Curious, proactive, independent
  • Comfortable with monotonous but critical data cleanup
  • Strong problem‑solving mindset
  • Business‑aware (understands how CS works)

Bachelor Of Technology (B.Tech/B.E), Masters in Technology (M.Tech/M.E)

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