Offer summary

Qualifications:

Experience with data QA and testing methodologies., Understanding of ETL processes and data pipelines., Strong analytical skills and attention to detail., Familiarity with Snowflake, Azure Data Factory, and Power BI reporting..

Key responsibilities:

Develop and execute data quality checks and validation procedures.

Support testing activities for complex data ingestion and transformation processes.

Collaborate with data engineers and architects to ensure end-to-end data integrity.

Identify data anomalies and provide recommendations for resolution.

Job description

About Billigence:

Billigence is a boutique data consultancy with a global reach and diverse clientele, transforming how organizations leverage data. We utilize cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications—from process digitization to Cloud Data Warehousing, Visualization, Data Science, Engineering, and Data Governance.

About the Role:

We are seeking a Data Quality Assurance (QA) Engineer to support complex data mapping and ingestion activities within the program, ensuring the reliability and accuracy of business-critical data.

What You’ll Do:

Develop and execute data quality checks and validation procedures.
Support testing activities for complex data ingestion and transformation processes.
Collaborate with data engineers and architects to ensure end-to-end data integrity.
Identify data anomalies and provide recommendations for resolution.

What You’ll Need: