🚀 We’re Hiring Remote | Data QA Engineer (3+ Years Experience)

🔍 Looking for an experienced Data QA Engineer with strong skills in Data Quality, Security QA, and automation/scripting to help ensure the accuracy, reliability, and security of enterprise data platforms.

If you enjoy working with complex datasets, SQL validation, ETL pipelines, and modern cloud data stacks (Azure/Databricks), this role is a great fit.

🧾 Role Details

• Position: Data QA Engineer

• Experience: 3+ years

• Employment Type: Contract / Full-Time

• Availability: Immediate Joiners Preferred

• Work Mode: Remote

• Domain: Data Platforms, Analytics, Cloud Data Engineering

🔧 Key Responsibilities

✔ Perform Data QA and Security QA across data pipelines and platforms

✔ Validate data accuracy, completeness, and consistency using complex SQL queries

✔ Test ETL processes, data transformations, and reconciliations

✔ Work with large, sensitive datasets of varying complexity and volume

✔ Execute QA, UAT, regression, exploratory, and post-production testing

✔ Collaborate with data engineers, analysts, and business stakeholders

✔ Identify data anomalies, inconsistencies, and quality issues early

✔ Create clear test documentation, validation reports, and defect logs

🎯 Required Skills & Experience

✅ 5+ years of experience in Data QA / Data Quality Testing

✅ Strong SQL skills (complex joins, aggregations, validations, reconciliations)

✅ Experience with Data Security QA concepts

✅ Hands-on experience with any automation or scripting language:

• Python

• PySpark

• JavaScript

• Scala

✅ Solid understanding of:

• Relational database design

• ETL processes

• Data modelling concepts

✅ Experience testing data platforms built on:

• Azure SQL

• Databricks

✅ Strong attention to detail with an eye for data inconsistencies and anomalies

✅ Excellent written and verbal communication skills