Job Description
We're looking for a Senior Quality Engineer to champion data quality across our data products, analytics workflows, and distributed systems. This is a senior IC role — not people management — partnering directly with developers, data engineers, and analysts to protect data integrity and analytical trust.
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nWhat You'll Own:
nEnd-to-end testing strategy for distributed systems, data pipelines, analytics workflows and reporting
nData quality standards — accuracy, completeness, consistency, freshness, lineage, reconciliation
nValidation strategy for source-to-target data flows — ingestion, transformation, schema changes, downstream analytics
nAutomated checks and test frameworks for database, API, and pipeline regression validation
nIntegration and performance testing for batch, streaming, and near-real-time workflows
nShift-left quality culture — mentoring on testing principles, data contracts, and quick feedback loops
nQuality metrics and KPIs tracking data health, pipeline reliability, and defect trends.
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nWhat you bring:
n✅ 5+ years in software/quality/data/analytics engineering, with deep focus on quality in distributed systems
n✅ Hands-on with database validation, data profiling, reconciliation, source-to-target testing
n✅ Strong SQL and understanding of relational/non-relational data stores, modeling, schema design
n✅ Experience validating dashboards, reports, and business KPIs back to source data
n✅ Familiarity with modern data tooling (Snowflake, BigQuery, Databricks, Spark, Airflow, Kafka, Great Expectations, Soda, Monte Carlo, or similar)
n✅ Scripting/automation skills (Python, JS/TS, Java, SQL, Bash) and CI/CD experience (GitHub Actions, Azure DevOps, Jenkins, etc.)
n✅ Strong systems-thinking and root-cause analysis for complex data/system behaviors
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nIf you see quality as a systems problem, not a checklist — let's talk. Write to

📌 Data Quality Engineer (Hyderabad)
🏢 CareerXperts Consulting
📍 Hyderabad