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Data Quality Specialist
1 month ago
Data Quality Specialist
We are seeking a skilled Data Quality Specialist to join our team at Forsyth Barnes. As a Data Quality Specialist, you will be responsible for maintaining and improving our data quality by working closely with our DataOps team, Data Owners, and Data Stewards to establish, implement, and sustain data quality standards and procedures.
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.