Description

JOB SUMMARY
We are seeking an experienced Data Quality Analyst with strong expertise in SQL, Data Validation, ETL/ELT Testing, Data Profiling, Reconciliation, Data Cleansing, API/UI Testing, and Playwright.
The ideal candidate will ensure enterprise data is accurate, complete, consistent, and reliable across data platforms and downstream applications.

KEY RESPONSIBILITIES
Perform data profiling, validation, reconciliation, and quality checks across large datasets.
Write advanced SQL queries to identify anomalies, duplicates, missing data, and transformation issues.
Validate ETL/ELT pipelines through source-to-target testing and reconciliation.
Define and implement data quality rules, metrics, controls, and automated checks.
Perform root-cause analysis and collaborate with Data Engineering and Business teams to resolve data issues.
Perform API/UI testing and validate data across applications and backend systems.
Develop and execute automated tests using Playwright.
Monitor data quality KPIs and support dashboards, analytics, reporting, and production data issues.
Support data governance, lineage, metadata, and enterprise data quality standards.

REQUIRED SKILLS
5+ years of experience in Data Quality, Data Analysis, Data Testing, or ETL Testing
Strong hands-on SQL skills
Relational databases & Data Warehouses
Data Profiling, Cleansing, Validation & Reconciliation
ETL/ELT Testing
Playwright – MUST HAVE
API/UI Testing
Source-to-Target Data Validation
Experience with Snowflake, Databricks, Azure Synapse, SQL Server, or similar platforms
Python/PySpark and data quality tools are a plus
Strong analytical, problem-solving, communication, and stakeholder-management skills

REQUIRED SKILL SET
SQL
ELT / ETL Testing
API / UI Testing
Playwright
Data Validation
Data Quality
Data Cleansing
Data Profiling & Reconciliation

Key Skills

Education

Any Graduate