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SAP BODS Consultant

Roles & Responsibilities

  • 4-6 years of experience in SAP BODS development and ETL design
  • Proficiency in SAP BusinessObjects Data Services (BODS) and ETL workflow development
  • Experience integrating data from SAP and non-SAP sources (flat files, Oracle, SQL Server, web services)
  • Knowledge of performance optimization, error handling, and data validation in BODS, including pushdown optimization and bulk loading

Requirements:

  • Translate complex business requirements into scalable and efficient ETL architecture and design.
  • Design, develop, and maintain ETL workflows, data mappings, and jobs using SAP BODS.
  • Monitor and manage ETL job execution through the SAP BODS Central Management Console and other administrative tools.
  • Ensure all ETL solutions align with organizational data governance and security standards.

Job description

Contract duration : 3 months (can be extended)

Experience: 4-6 Years

Headcount: 01

Work Location: Remote

  • Translate complex business requirements into scalable and efficient ETL architecture and design.
  • Design, develop, and maintain ETL workflows, data mappings, and jobs using SAP BusinessObjects Data Services (BODS).
  • Integrate data from a wide range of SAP and non-SAP sources including flat files, relational databases (e.g., Oracle, SQL Server), and web services.
  • Apply best practices in performance optimization, error handling, and data validation within BODS jobs.
  • Leverage SAP integration tools such as iDoc, BAPI, and others to facilitate seamless SAP data migration and synchronization.
  • Monitor and manage ETL job execution through the SAP BODS Central Management Console and other administrative tools.
  • Optimize ETL performance using techniques like cache management, parallel data flows, pushdown optimization, and bulk data loading.
  • Process large datasets efficiently using methods like dynamic splitting and partitioning to enhance performance and reliability.
  • Generate and maintain comprehensive reports for pre-load validation, post-load verification, and reconciliation to ensure data accuracy.
  • Adhere to project deadlines, data quality benchmarks, and industry best practices in ETL development.
  • Actively troubleshoot issues, conduct root cause analysis, and implement timely resolutions to minimize data and process disruptions.
  • Engage with business and technical stakeholders to clearly communicate requirements, updates, and technical challenges.
  • Participate in peer code reviews, documentation efforts, and knowledge transfer initiatives to foster continuous team improvement.
  • Ensure all ETL solutions align with organizational data governance and security standards.

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