SAP BODS Data Engineer

Capgemini

SAP BODS Developer

Capgemini Data Engineering Team

Key Responsibilities

• Design, develop, and maintain ETL solutions using SAP BusinessObjects Data Services (BODS), ensuring best practices and industry standards are adhered to.
• Architect, configure, and optimize SAP BODS environments including understanding system architecture, components, and project organization.
• Build robust data flows and workflows within BODS Designer, organizing projects for clarity, scalability, and maintainability.
• Create, schedule, and troubleshoot batch jobs to ensure timely and accurate data integration across multiple systems and sources.
• Leverage Data Integrator and Platform Transforms (lookup, merge, validation, etc.) to meet complex business and technical requirements.
• Implement and monitor data quality transforms, ensuring clean, reliable, and accurate data throughout the ETL lifecycle.
• Utilize functions, scripts, and variables within BODS for dynamic data manipulation and to support advanced transformation logic.
• Perform thorough data profiling and assessment to identify data issues, inconsistencies, and opportunities for data quality improvement.
• Design and implement robust error and exception handling mechanisms within ETL processes to ensure resilience and reliability.
• Develop and optimize complex SQL and Oracle queries, including views and stored procedures, ensuring efficient data extraction and transformation.
• Collaborate with BI/reporting teams, maintaining basic familiarity with reporting tools such as SAP BO, Tableau, or Power BI to support downstream analytics requirements.
• Apply performance tuning and optimization techniques to enhance ETL job efficiency, minimize runtime, and ensure scalability.
• Demonstrate a proactive approach to learning new technologies and cross-skilling across domains, contributing to a culture of continuous improvement within the team.

Must-Have Skills & Experience

• Extensive SAP BODS Expertise: In-depth knowledge of SAP BusinessObjects Data Services, its architecture, and its core components.
• BODS Designer Proficiency: Expert in data flows, workflows, and advanced project organization within BODS Designer.
• Batch Job Management: Proven ability to create, schedule, and troubleshoot batch jobs for high-volume data integration.
• Transformations Knowledge: Solid experience with Data Integrator and Platform Transforms such as lookup, merge, and validation transforms.
• Data Quality Implementation: Capability to define and apply data quality transforms to ensure data accuracy and reliability.
• Scripting & Functions: Proficient in BODS scripting, functions, and variable handling for dynamic ETL logic.
• Data Assessment Skills: Skilled in data profiling, data quality assessment, and remediation of identified data issues.
• Error & Exception Handling: Experience in designing resilient error and exception handling processes within ETL workflows.
• SQL/Oracle Expertise: Strong command of SQL and Oracle database concepts, query performance tuning, and complex stored procedure development.
• Reporting Tools Awareness: Familiarity with BI/reporting solutions (SAP BO, Tableau, Power BI) to understand integration requirements.
• Performance Optimization: Knowledge of ETL performance tuning techniques and experience in optimizing large-scale data flows.
• Learning Mindset: Demonstrated willingness to learn new tools and technologies, and ability to cross-skill as needed.

Education & Professional Qualifications

• Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Relevant certifications in SAP BODS and/or Oracle databases are an advantage.

Preferred Attributes

• Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
• Excellent written and verbal communication skills to effectively interact with technical and non-technical stakeholders.
• Prior experience working in an Agile or DevOps environment is a plus.
• Experience in the consulting, financial services, or technology sectors is desirable.