QA Analyst I (Data/SQL/Python)

Rekruton Technologies; Ahmedabad District; On-site; INR 450,000 - 650,000; Full time

Job summary

Rekruton Technologies is seeking a Data QA Engineer to validate large-scale data pipelines and ensure data integrity across systems in Ahmedabad.

You will design and implement data validation, collaborate with data teams, and help drive AI-assisted QA initiatives, while applying SQL, Python, and orchestration tools to maintain reliable data flows.

Qualifications

• 1-2 years of experience in Data QA.
• Strong hands-on expertise in SQL.
• Working knowledge of Cloud Systems (AWS, GCP).
• Python scripting for data manipulation.
• Experience with orchestration tools (Airflow, Dagster) and logging (CloudWatch).
• Exposure to AI tools.
• Familiarity with CI/CD tools (Jenkins, GitHub).
• Understanding of DSP or AdTech data models.

Responsibilities

• Design, develop, and execute data validation for large-scale data pipelines
• Collaborate with data teams to understand data flow and transformations
• Schema validation (types, nullability, constraints)
• Anomaly/outlier detection (statistical thresholds, freshness checks)
• Regression testing on transformation logic after schema/pipeline changes
• Contribute to AI-assisted QA initiatives

Skills

SQL

Cloud (AWS/GCP)

Python

Airflow

CI/CD

AI tools

AdTech data

Troubleshooting

Tools

Dagster

CloudWatch

Jenkins

GitHub

Job description

Key Responsibilities

• Design, develop, and execute data validation for large-scale data pipelines
• Collaborate with data teams to understand data flow and transformations
• Schema validation (types, nullability, constraints)
• Anomaly/outlier detection (statistical thresholds, freshness checks)
• Regression testing on transformation logic after schema/pipeline changes
• Contribute to AI-assisted QA initiatives

Skills

• 1-2 years of experience in Data QA.
• Strong hands-on expertise in SQL (tools to mention).Working knowledge of Cloud Systems (AWS, GCP etc).
• Working knowledge of Python for scripting, data manipulation, and automation integration
• Experience with orchestration or logging tools (like Airflow, Dagster, Cloudwatch etc.) enough to tracefailures
• Exposure of AI Tools
• Familiarity with CI/CD tools (Jenkins, GitHub)
• Strong analytical mindset, attention to detail, and ability to troubleshoot complex data issues.
• Good to have understanding of DSP or AdTech data models