Data Quality Engineer

About the role

Blend360 is looking for a Data Quality Engineer to ensure data reliability and consistency across its Azure‑based platforms. You will work closely with data engineering and business teams to validate pipelines and deliver production‑ready data assets.

Key responsibilities

• Design and implement a data quality framework for Bronze, Silver, and Gold layers, defining validation rules and alerting standards.
• Build automated quality checks in Databricks pipelines, including row counts, null checks, referential integrity, schema validation, and business rule assertions.
• Own reconciliation between source systems and Databricks layers, validating ETL/ELT transformations.
• Support UAT with business stakeholders and document QA processes and results.

Required profile

• 3+ years of experience in data engineering or data quality roles.
• Strong analytical thinking, attention to detail, and ability to collaborate with engineers and business users.
• Advanced English communication skills.

Required skills

• Azure data platform experience.
• Databricks proficiency.
• Strong SQL skills for large‑scale data analysis.

What we offer

• Learning opportunities: certifications in AWS, Databricks, Snowflake, and access to Udemy Business.
• Travel to industry conferences and client sites.
• Mentoring, career development plans, and flexible working options.
• Company‑provided equipment and special day rewards.