Data QA Engineer

Data QA Engineer

Job Location: ALPHARETTA, GA- onsite is a must

Long Term Contract

Job Summary:

We are looking for a Data QA Engineer with strong expertise in data analysis, validation, and quality assurance processes. The ideal candidate will have hands-on experience with Excel, SQL, and Python to ensure data integrity, accuracy, and consistency across large datasets.

This role requires strong analytical skills, attention to detail, and the ability to identify data anomalies and ensure high-quality data for business decision-making.

Notes from Client
Must Have Skills
• Skill 1 – Advanced SQL (Data querying, joins, validation)
• Skill 2 – Python (Scripting & automation for data QA)
• Skill 3 – Data Analysis (Excel & large dataset handling)
• Skill 4 – Data Validation & Data Quality Checks
• Skill 5 – Data Cleaning & Preprocessing (handling missing data, duplicates)
• Skill 6 – Data Integrity & Consistency Validation
• Skill 7 – Statistical Analysis & Anomaly Detection
• Skill 8 – Business Rule Validation & Logical Analysis

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Key Responsibilities:

• Perform data analysis and validation using Excel and SQL for querying, manipulation, and verification

• Develop and execute data QA processes to ensure data integrity and quality

• Write Python scripts to automate data validation and QA workflows

• Analyze large datasets to identify trends, patterns, and anomalies

• Apply statistical methods and logical reasoning to validate data accuracy and completeness

• Define and enforce business rules to ensure data aligns with business objectives

• Clean, organize, and prepare raw data for analysis and validation

• Handle missing data, remove duplicates, and ensure consistency using Python and data processing techniques

• Perform end-to-end data quality checks and support QA lifecycle activities

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Required Skills (Must Have):

1. Data Analysis & Validation

• Data Analysis using Excel

• Advanced SQL (Data querying, joins, aggregation, validation)

• Data Verification & Quality Checks

2. Programming & Automation

• Python Scripting

• Automation of Data QA Processes

• Data Cleaning & Pre-processing

3. Data Quality & Governance

• Data Integrity Validation

• Handling Missing Data & Duplicates

• Data Consistency & Accuracy Checks

• Business Rule Validation

4. Analytical Skills

• Statistical Analysis Basics

• Trend & Pattern Identification

• Anomaly Detection

• Logical & Analytical Thinking

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Preferred Skills:

• Experience working with large-scale datasets

• Exposure to data QA frameworks or tools

• Experience in data pipeline validation or ETL QA

• Knowledge of data governance practices

📩 Interested candidates, please connect or share resumes at: