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Data Quality Specialist
2 months ago
About the Role
Forsyth Barnes is seeking a highly skilled Data Quality Engineer to join our team. As a Data Quality Engineer, you will play a critical role in maintaining and improving our data quality.
Key Responsibilities
- Design, develop, and automate a data testing framework using Azure and SAP technologies across on-premises and cloud environments.
- Direct API testing and automation for data pipelines, services, warehouses, BI systems, and ML platforms, ensuring unified transactional data validation.
- Utilize programming languages and analytics tools to validate products, ML models, data pipelines, and deliverables, while managing data quality with tools like Collibra.
- Oversee data governance, data profiling, and ETL processes with tools like SAP BODS, SAP SLT, SSIS, and SAP CPI to ensure data quality and accurate metadata documentation.
- Develop automated testing solutions using statistical methods and models, and establish quality metrics to assess data pipelines and products.
- Collaborate with cross-functional teams to implement data science features, apply Agile practices, and support QA with feature and regression testing.
Requirements
- Expert in automated testing for multi-source data ingestion, SQL queries, stored procedures, data warehousing, modeling, and data security (RBAC, RLS, CLS, Data Masking) with programming experience in C#, JavaScript, and Python.
- Proficient across all phases of the delivery lifecycle-from requirements gathering to post-launch support-ensuring efficient and consistent project delivery.
- Skilled in applying and maintaining development standards within the Technical Stack, with the ability to enhance and support existing systems.
- Experienced in quickly diagnosing and resolving complex, cross-platform issues while mentoring others in troubleshooting performance and reliability challenges.
- Strong team player with excellent analytical skills, attention to detail, and adaptability, able to work independently and communicate effectively across the organization.
