We are seeking a highly skilled and experienced SAP Integrated Business Planning (IBP) for Supply Chain Lead Consultant to join our dynamic team. The ideal candidate will have a solid background in supply chain with extensive experience in implementation projects.
Key Accountabilities & Responsibilities:
1.Data Quality Assurance:
• Ensure that the data being ingested, processed, and delivered is accurate, complete, and meets the business requirements.
• Implement data quality rules and monitor for anomalies, missing data, or inconsistent data patterns.
• Validate data transformations to ensure accuracy and compliance with the data models and specifications.
2.Test Data Pipelines:
• Design and execute test cases to validate the performance and functionality of data pipelines.
• Ensure that data flows correctly from source to destination, including data extraction, transformation, and loading (ETL).
• Validate data consistency and integrity across various stages of the pipeline (e.g., staging, transformations, and target systems).
3. Data Validation and Reconciliation:
• Cross-check data between source and target systems to confirm that data is transformed and loaded correctly.
• Perform data reconciliation to ensure that no data is lost or altered incorrectly during the ETL process.
• Validate key data metrics and aggregations to ensure they match expected outcomes.
4. Automation of Data Testing:
• Develop automated test scripts for data validation, data integrity, and regression testing of data pipelines.
• Implement automation tools such as Apache Airflow, DBT, or other testing frameworks for continuous data testing.
5. Performance Testing:
• Test the performance of data pipelines to ensure that they can handle large data volumes and meet processing time requirements.
• Identify bottlenecks and recommend optimizations to improve data processing speed, efficiency, and scalability.
6. Monitoring and Reporting:
• Continuously monitor data pipelines to identify failures or deviations from expected results.
• Generate reports on data pipeline performance, data quality issues, and testing outcomes.
• Proactively report any data inconsistencies, failures, or inefficiencies to the development team.
7. Collaboration with Data Engineering Teams:
• Work closely with data engineers and developers to understand data requirements, data models, and business rules.
• Collaborate with teams to troubleshoot data-related issues and optimize the overall data architecture and pipelines.
• Participate in code reviews and help in the continuous improvement of data quality processes.
8. Data Documentation:
• Document data testing strategies, procedures, and test results.
• Maintain records of test cases, test data, and defect logs for traceability and audits.
• Ensure that data-related processes are properly documented for both technical teams and business stakeholders.
9. Data Security and Compliance:
• Ensure that data security standards are followed during testing, especially for sensitive data (GDPR, HIPAA, etc.).
• Ensure compliance with data governance practices by verifying that data is processed according to regulatory and organizational standards.
10. Handling Data Anomalies and Issues:
• Investigate data issues, such as missing records, discrepancies, and data corruption.
• Work with the development team to resolve issues and improve the overall data pipeline quality.
11. Continuous Improvement:
• Continuously improve testing practices by exploring new tools and techniques for data validation and QA.
• Stay updated on industry trends in data engineering and QA methodologies to ensure best practices are followed.
12. Support and Troubleshooting:
• Provide support in identifying, debugging, and resolving data-related issues in production environments.
• Troubleshoot and address data quality issues reported by business users or downstream systems.
Incede Software And Consulting Pvt. Ltd.(ISAC) is a premier HR, SAP, and Management Consulting firm….
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