KF - QA DATA - 113

We are seeking a highly skilled and experienced Data Validation Specialist to join our dynamic team.
This role is crucial for ensuring the accuracy and functionality of our application dashboards, managing file-related errors, and facilitating successful data loads and transfers.
The ideal candidate will possess a strong background in data validation, automation scripting, and ETL testing processes.
As a Data Validation Specialist, you will play a key role in maintaining the integrity of our data systems and enhancing our data-driven decision-making capabilities.
Responsibilities As a Data Validation Specialist, your primary responsibilities will include.
Data Validation.
Validate the accuracy and functionality of application dashboards, ensuring that data is correctly represented and meets business requirements.
File Transfers.
Oversee the validation of inbound and outbound interfaces, ensuring that file transfers are executed smoothly and without errors.
Error Handling.
Identify, troubleshoot, and resolve file-related errors and issues, implementing corrective actions as necessary.
SFTP Protocols.
Understand and apply SFTP protocols and data transfer mechanisms to facilitate secure and efficient data movement.
Automation Scripting.
Utilize Python scripting to automate data validation and testing tasks, improving efficiency and accuracy in validation processes.
ETL Testing.
Familiarize yourself with ETL testing processes, including test case design, execution, and defect tracking, to ensure data integrity throughout the ETL pipeline.
Collaboration.
Work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to ensure alignment on data quality standards and validation processes.
Documentation.
Maintain comprehensive documentation of validation processes, test cases, and results to support transparency and knowledge sharing within the team.
Continuous Improvement.
Identify opportunities for process improvements and contribute to the development of best practices in data validation and quality assurance.
Must-Have Skills Data Validation.
Proven experience in validating data accuracy and functionality, ensuring that data meets specified requirements and standards.
File Transfers.
Strong understanding of file transfer processes, including validation of inbound and outbound interfaces to ensure data integrity.
SFTP Protocols.
Familiarity with SFTP protocols and data transfer mechanisms, ensuring secure and efficient data movement.
Python Scripting.
Proficiency in Python scripting for automation of data validation and testing tasks, enhancing efficiency and accuracy in validation processes.
ETL Testing.
Experience with ETL testing processes, including test case design, execution, and defect tracking, to ensure data integrity throughout the ETL pipeline.
QA Practices.
Strong knowledge of quality assurance practices, ensuring that data validation processes adhere to industry standards and best practices.
Azure DevOps.
Proficiency in Azure DevOps, with an emphasis on Test Plan, to manage and track testing activities effectively.
Nice-to-Have Skills SAP.
Familiarity with SAP systems and data structures, enhancing the ability to validate data within SAP environments.
Workday HCM.
Experience with Workday HCM and FINS, contributing to the validation of human capital management data.
Power BI.
Experience with Power BI for reporting and data visualization, enabling effective communication of data insights.
Azure Data Factory (ADF).
Familiarity with Azure Data Factory and its capabilities for data integration and transformation.
Informatica.
Experience with Informatica as an ETL tool, enhancing the ability to validate data within Informatica workflows.
SSIS.
Knowledge of SQL Server Integration Services (SSIS) for data integration and validation tasks.