Role overview
Job description
Role Overview We are seeking an ETL QA Data Engineer to ensure the accuracy, completeness, and reliability of data pipelines and analytics outputs across a high-volume, event-driven domain (e.g., emergency response, public safety, and healthcare operations). You will validate data ingestion and transformation logic, reconcile records between source and target systems, detect anomalies, and help ensure reporting and dashboards reflect trustworthy data. Key Responsibilities Data Validation & Reconciliation Perform source-to-target reconciliation for event/transaction-style datasets across ingestion and curated layers. Validate completeness, timeliness, and consistency of daily/near-real-time ingestion pipelines. Identify and investigate data anomalies (missing records, spikes/drops, duplicates, out-of-range values, schema drift). Validate correctness of KPIs and metrics used in dashboards
…About this listing
- Source: Algoworks's official careers site (via Keka) · last confirmed on the source 31 Oct 2026
- Posted 30 Oct 2026
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Role market pulse
How QA Engineer demand looks in India
Live jobs
56
Posted 30d
36
30d movement
+125%
Remote share
7.1%
Salary listed
23.2%
Salary trend 1Y
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What they are looking for
Skills & requirements
Department · PE-Cloud
Hiring company
Algoworks
Algoworks helps businesses thrive at the intersection of technology and people through AI, engineering services and experience transformation that deliver outcomes. Explore Now.
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