Ensure data quality, reliability, and consistency across modern data platforms.
Validate data pipelines and implement automated quality checks.
Collaborate closely with Data Engineering and business teams.
Design and implement a data quality framework across Bronze, Silver, and Gold layers.
Build and maintain automated data quality checks within Databricks pipelines.
Own reconciliation between source systems and Databricks layers.
Validate identity resolution outputs in the Silver layer.
Perform end-to-end pipeline testing.
Partner with Data Engineers to define acceptance criteria for each sprint.
Support UAT with client business stakeholders.
Document all QA processes, test results, and data quality findings.
Monitor pipeline health post-deployment.

Experience working with Azure-based data platforms, including Databricks.
Strong understanding of data quality frameworks and testing methodologies for data pipelines.
Experience validating ETL/ELT processes and working with layered architectures (Bronze, Silver, Gold).
Strong SQL skills and experience analyzing large datasets.
Experience implementing automated data validation and reconciliation processes.
Familiarity with data pipeline monitoring, alerting, and troubleshooting.
Ability to collaborate with Data Engineers and business stakeholders.
Strong analytical thinking and attention to detail.
Experience documenting QA processes and results in a structured manner.
3+ years of experience in QA, Data Engineering, or Data Quality roles.

Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Travel opportunities to attend industry conferences and meet clients.
Career development plans and mentorship programs to help shape your path.
Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
Flexible working options to help you strike the right balance.

QA Analyst, Databricks

Key skills