Position Summary

Implement automated data quality checks, reconciliation routines, scorecards and exception monitoring for Commercial Pharma datasets. The role converts business and technical DQ requirements into scalable, reusable and production-ready validation frameworks.

Business / Program Context

The role is part of a Vizag-based delivery capability supporting Commercial Pharma datasets across global markets. The work may include platform operations, data engineering, data quality, reporting, AI enablement, release governance and stakeholder support for enterprise commercial data products. The role is not limited to Japan-specific datasets; Japan market familiarity may be useful but is not a mandatory baseline requirement for most positions.

Job Responsibilities

Build and automate DQ rules using Informatica IDMC CDQ, SQL, Databricks or equivalent frameworks.
Develop validation checks for ingestion, transformation, reconciliation and curated data layers.
Create DQ scorecards, exception tables, alerting logic and monitoring dashboards.




Implement metadata-driven rule execution, thresholds, severity classification and exception routing.
Support RCA, defect remediation, rerun validation and post-release data checks.
Partner with DQ Analysts, Data Engineers, QA teams and Operations Manager to improve quality controls.
Work as part of a Vizag-based delivery team supporting Commercial Pharma datasets and global commercial data stakeholders.
Collaborate with business, technology, governance, quality and offshore/onshore delivery teams across time zones.
Follow Agile delivery, SDLC, documentation, release, validation, access-control and data-governance standards.
Contribute to knowledge management, reusable assets, SOPs, runbooks and operational excellence initiatives.
Maintain solid communication discipline, including status updates, risk identification, issue escalation and timely stakeholder follow-through.

Required Work Experience

4–7 years of relevant experi

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