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Data Engineer - Validation & quality
Tech AI startup in Bangalore
Data Engineer - Validation & quality
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Data Engineer - Validation & quality

at Tech AI startup in Bangalore

Agency job
4 - 8 yrs
₹12L - ₹18L / yr
Remote only
Skills
pandas
NumPy
MLOps
SQL
ETL
Kernel Programming

Data Engineer – Validation & Quality


Responsibilities

  • Build rule-based and statistical validation frameworks using Pandas / NumPy.
  • Implement contradiction detection, reconciliation, and anomaly flagging.
  • Design and compute confidence metrics for each evidence record.
  • Automate schema compliance, sampling, and checksum verification across data sources.
  • Collaborate with the Kernel to embed validation results into every output artifact.

Requirements

  • 5 + years in data engineering, data quality, or MLOps validation.
  • Strong SQL optimization and ETL background.
  • Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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