QA Engineer — Data & BI

Sourcingconnectconsulting; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Sourcing Connect Consulting is seeking a QA Engineer — Data & BI to own quality assurance across the Insights Hub platform, including source extraction, transformation, transcription, privacy controls, data pipelines and BI dashboards.

This data-centric QA role focuses on ensuring data, metrics and AI outputs are accurate, with strict privacy controls to prevent leakage into downstream stores or dashboards. Remote India-based contract role, immediate start.

Qualifications

• Experience QAing data platforms or data warehouses.
• Strong SQL for data validation and reconciliation.
• Python-based test automation with pytest.
• Familiar with data-quality frameworks like Great Expectations.
• API testing experience with Postman or REST Assured.
• ETL/pipeline testing and backfill scenarios.
• Proficient in Jira/Zephyr/TestRail for defect management.
• Clear client-facing quality documentation.

Responsibilities

• Define and own test strategy across ETL, AI/ML outputs, APIs and BI layers.
• Establish release entry and exit criteria.
• Build automated data-quality checks for completeness, uniqueness, referential integrity, schema conformance, freshness, and reconciliation.
• Validate transformation logic across relational model.
• Verify derived metrics against business definitions.
• Test PII detection and redaction across transcripts.
• Ensure sensitive information does not leak to downstream stores or dashboards.
• Validate transcription quality and AI outputs via sampling and benchmarking.
• Test vector ingestion and retrieval, including IDs and relevance.
• API testing covering authentication, errors, pagination and rate-limits.
• Validate Tableau and Superset dashboards against source queries.
• Maintain automated regression suites with CI/CD.
• Conduct performance and load testing against SLAs.
• Manage defect lifecycle from logging to closure.
• Support client UAT and prepare test plans and traceability matrices.

Skills

Data QA

SQL

Python

Data quality tools

API testing

ETL tests

Test management tools

Documentation

Tools

Jira

Zephyr

TestRail

Postman

REST Assured

GitHub Actions

Job description

Remote Competitive Posted: Aug 28, 2026 Deadline: Sep 04, 2026

Company: Sourcing Connect Consulting
Experience: 4–8 Years
Location: India — Remote
Shift: 1:30 PM – 11:30 PM IST
Engagement: Contract
Start Date: Immediate
Duration: Immediate to December 2026 — Extendable

Role Summary

We are looking for a QA Engineer — Data & BI to own quality assurance across the Insights Hub platform, covering source extraction, transformation, transcription, privacy controls, data pipelines and BI dashboards.

This is a data-centric QA role, where the focus is ensuring that data, metrics and AI outputs are accurate and that sensitive information does not reach downstream stores or dashboards.

Key Responsibilities

• Define and own test strategy across ETL, AI/ML outputs, APIs and BI layers.
• Establish release entry and exit criteria.
• Build automated data-quality checks covering completeness, uniqueness, referential integrity, schema conformance, freshness and source reconciliation.
• Validate transformation logic across the relational model.
• Verify derived metrics against agreed business definitions.
• Test PII detection and redaction across transcript variations.
• Ensure sensitive information does not leak into downstream stores or dashboards.
• Validate transcription quality and AI outputs through sampling, accuracy benchmarking and regression tracking.
• Test vector ingestion and retrieval, including point counts, payload integrity, deterministic IDs and search relevance.
• Perform API testing covering authentication, error handling, pagination and rate-limit behaviour.
• Validate Tableau and Superset dashboards against source-of-truth queries.
• Build and maintain automated regression suites integrated with CI/CD.
• Conduct performance and load testing against agreed SLAs.
• Manage defect lifecycle including logging, triage, prioritization, root-cause narrative and closure verification.
• Support client UAT and prepare test plans, traceability matrices and release-readiness reports.

Must-Have Skills

• Proven QA experience on data platforms or data warehouse projects, rather than solely application/UI testing.
• Strong SQL for independent data validation and reconciliation.
• Python for test automation using pytest or equivalent.
• Experience with data-quality frameworks such as Great Expectations, Soda or dbt tests.
• API testing experience using Postman, REST Assured or Python-based approaches.
• ETL and pipeline testing experience, including incremental-load and backfill scenarios.
• Experience with Jira, Zephyr, TestRail or similar test/defect-management tools.
• Strong written communication and ability to produce client-facing quality documentation.

Preferred / Nice to Have

• Experience testing BI dashboards, particularly Tableau or Superset.
• Exposure to AI/ML output testing, evaluation design, sampling and non-deterministic output handling.
• Familiarity with GCP, BigQuery and Cloud Composer.
• Experience validating data privacy and compliance controls.
• Performance testing experience using JMeter, Locust or k6.
• CI/CD integration experience with GitHub Actions, Jenkins or Cloud Build.

[phone]
Mon to Sat 7:00am to 7:00pm