Overview
Skills
Job Details
Analyze business requirements and translate them into technical solutions using SAP BODS and DQ functionalities.
Design and develop ETL jobs using SAP Data Services for data extraction, transformation, and loading.
Implement data profiling, data cleansing, standardization, deduplication, and validation rules using BODS DQ components.
Collaborate with data owners and business stakeholders to identify data quality issues and implement corrective solutions.
Work with data migration, data integration, and data governance teams to ensure accurate and consistent data across systems.
Optimize and troubleshoot BODS jobs for performance and scalability.
Prepare technical documentation including job design specs, test cases, and deployment guides.
Support system and integration testing and participate in UAT cycles.
Provide post-deployment support, monitoring, and issue resolution.
Required Skills:
Hands-on experience with SAP BusinessObjects Data Services (BODS) ETL development, data flow design, job scheduling.
Expertise in Data Quality transformations data profiling, address cleansing, match/merge, parsing, and standardization.
Good SQL skills ability to write and debug complex queries.
Strong understanding of data integration, data warehousing, and data migration best practices.
Knowledge of data governance concepts and master data management (MDM) frameworks.
Experience with performance tuning and job optimization in BODS.
Familiarity with source/target systems such as SAP ECC, S/4HANA, Oracle, SQL Server, etc.
Strong analytical and problem-solving skills.
Excellent communication and documentation skills.
Good to Have:
Experience with SAP Information Steward or other data profiling tools.
Understanding of SAP MDG, SAP BW, or SAP HANA.
Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud Platform).
Exposure to Agile/Scrum methodologies.
BODS Certification or equivalent training.