? Location: Ahmedabad, Gujarat — Work from the office

? Experience: 1–2 Years

We’re looking for a Data QA Engineer who enjoys working with data, digging into pipelines, identifying anomalies, and ensuring data quality at scale.

If you have strong SQL skills, working knowledge of Python, and experience validating data across complex pipelines, we’d love to hear from you!

About IQMIQM is a programmatic media buying and audience intelligence platform serving politics, advocacy, healthcare, and other specialized domains.

Our technology enables organizations to plan, target, measure, optimize, and gain insights from digital advertising campaigns across channels including mobile, desktop, CTV/OTT, native, and audio.

With a strong focus on data, AI, machine learning, and audience intelligence, our platform processes large-scale datasets to support accurate targeting, measurement, and campaign optimization.

What You’ll Do• Design, develop, and execute data validation strategies for large-scale data pipelines

- Collaborate with Data Engineering and other technical teams to understand data flows and transformations
- Perform schema validation, including data types, nullability, constraints, and consistency checks
- Identify anomalies and outliers using statistical thresholds, data freshness checks, and validation rules
- Perform regression testing on transformation logic following schema or pipeline changes
- Investigate data discrepancies and trace pipeline failures




- Build or contribute to automated data-quality validation processes
- Contribute to AI-assisted QA and automation initiatives

What We’re Looking For• 1–2 years of experience in Data QA, Data Testing, ETL Testing, or a similar role

- Strong hands-on expertise in SQL and working with relational/data warehouse environments
- Working knowledge of cloud platforms such as AWS or GCP
- Working knowledge of Python for scripting, data manipulation, and QA automation
- Exposure to orchestration and monitoring tools such as Airflow, Dagster, CloudWatch, or similar tools
- Familiarity with CI/CD tools such as Jenkins and GitHub
- Exposure to AI tools and an interest in using AI to improve QA processes
- Strong analytical and troubleshooting skills with excellent attention to detail
- Ability to investigate complex data-quality and pipeline issues independently

Good to Have• Understanding of DSP, Programmatic Advertising, or AdTech data models

- Experience testing high-volume datasets or data pipelines
- Exposure to data warehouses/lakehouses and up-to-date data engineering ecosystems

? Why this role?

This isn't just about validating whether data is right or wrong. You’ll work closely with our data ecosystem, understand how information moves through large-scale pipelines, identify quality issues before they impact downstream systems, and help us explore how AI can make Data QA smarter and more automated.

📌 Data QA Engineer I (Ahmedabad)
🏢 iqm
📍 Ahmedabad