CareerXperts Consulting
Website:
careerxperts.com
Job details:
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.
What You'll Own:
🔹 End-to-end testing strategy for distributed systems, data pipelines, analytics workflows and reporting
🔹 Data quality standards — accuracy, completeness, consistency, freshness, lineage, reconciliation
🔹 Validation strategy for source-to-target data flows — ingestion, transformation, schema changes, downstream analytics
🔹 Automated checks and test frameworks for database, API, and pipeline regression validation
🔹 Integration and performance testing for batch, streaming, and near-real-time workflows
🔹 Shift-left quality culture — mentoring on testing principles, data contracts, and fast feedback loops
🔹 Quality metrics and KPIs tracking data health, pipeline reliability, and defect trends.
What you bring:
✅ 5+ years in software/quality/data/analytics engineering, with deep focus on quality in distributed systems
✅ Hands-on with database validation, data profiling, reconciliation, source-to-target testing
✅ Strong SQL and understanding of relational/non-relational data stores, modeling, schema design
✅ Experience validating dashboards, reports, and business KPIs back to source data
✅ Familiarity with modern data tooling (Snowflake, BigQuery, Databricks, Spark, Airflow, Kafka, Great Expectations, Soda, Monte Carlo, or similar)
✅ Scripting/automation skills (Python, JS/TS, Java, SQL, Bash) and CI/CD experience (GitHub Actions, Azure DevOps, Jenkins, etc.)
✅ Strong systems-thinking and root-cause analysis for complex data/system behaviors
If you see quality as a systems problem, not a checklist — let's talk. Write to Meghana.r@careerxperts.com
Click on Apply to know more.
