Data Analyst / QA for Data Pipelines

About the role

Blend360 is seeking a QA Data Engineer to ensure the accuracy and production readiness of data pipelines for a high‑impact enterprise initiative. You will work closely with Data Engineering and Analytics teams to validate and promote high‑quality data assets.

Key responsibilities

• Validate data accuracy across pipelines and ensure consistency between legacy and new systems.
• Build and maintain reconciliation frameworks and automated regression test suites.
• Execute acceptance testing and perform data profiling to detect anomalies.
• Document data lineage across up to 18 domains and collaborate on production readiness.

Required profile

• 3+ years of experience in Data Quality, QA, or Data Analysis.
• Expert‑level proficiency in SQL for data validation.
• Hands‑on experience with Python and data quality frameworks (Great Expectations preferred).
• Strong attention to detail and ability to work cross‑functionally.

Required skills

• SQL
• Python
• Great Expectations (or similar data quality framework)

What we offer

• Learning opportunities: AWS, Databricks, Snowflake certifications, Udemy Business.
• Flexible working options, travel to conferences, mentoring and development programs.