What are the responsibilities and job description for the SAP BODS developer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Intellect IT, is seeking the following. Apply via Dice today!
Skilled Data Engineer with expertise in SAP Data Services (SAP BODS) to design, build, and maintain scalable data integration and transformation solutions. The role involves working closely with business and technical teams to deliver high-quality, reliable data pipelines.
Experience
Total 4 to 6 years of experience working as Data Engineer/ETL Developer or related role
Key Responsibilities
Design, develop, and maintain ETL workflows using SAP Data Services and related enterprise data integration tools.
Build and optimize data pipelines for transformation, cleansing, enrichment, and migration across multiple systems.
Optimize ETL jobs for Performance , Scalability and Error handling
Perform advanced SQL development, tuning, and analytical queries
Support production operations for data platforms, including issue troubleshooting, root cause analysis, and incident resolution.
Troubleshoot and resolve ETL issues and production incidents
Collaborate with business and technical teams to translate data requirements into scalable solutions.
Monitor data quality, integrity, and pipeline performance to ensure SLA adherence.
Implement automation and process improvements to enhance operational efficiency.
Participate in agile ceremonies and contribute to sprint-based enhancement delivery.
Technical Skills
Strong hands-on experience in ETL development and data transformation
Expertise in SAP Data Services
Advanced proficiency in SQL and Teradata
Experience with enterprise data warehousing principle, ETL/ELT concepts
Strong Data modeling skill
Knowledge of data mapping, data lineage, and integration frameworks
Familiarity with data quality monitoring and optimization techniques
Understanding of batch processing and production support models
Preferred Skills
Experience with AWS cloud platforms
Python scripting experience
Knowledge of data governance frameworks
Functional Skills
Strong analytical and problem-solving abilities
Experience in managed services or support-based delivery models
Ability to handle production issues and operational escalations
Agile collaboration and stakeholder engagement
Skilled Data Engineer with expertise in SAP Data Services (SAP BODS) to design, build, and maintain scalable data integration and transformation solutions. The role involves working closely with business and technical teams to deliver high-quality, reliable data pipelines.
Experience
Total 4 to 6 years of experience working as Data Engineer/ETL Developer or related role
Key Responsibilities
Design, develop, and maintain ETL workflows using SAP Data Services and related enterprise data integration tools.
Build and optimize data pipelines for transformation, cleansing, enrichment, and migration across multiple systems.
Optimize ETL jobs for Performance , Scalability and Error handling
Perform advanced SQL development, tuning, and analytical queries
Support production operations for data platforms, including issue troubleshooting, root cause analysis, and incident resolution.
Troubleshoot and resolve ETL issues and production incidents
Collaborate with business and technical teams to translate data requirements into scalable solutions.
Monitor data quality, integrity, and pipeline performance to ensure SLA adherence.
Implement automation and process improvements to enhance operational efficiency.
Participate in agile ceremonies and contribute to sprint-based enhancement delivery.
Technical Skills
Strong hands-on experience in ETL development and data transformation
Expertise in SAP Data Services
Advanced proficiency in SQL and Teradata
Experience with enterprise data warehousing principle, ETL/ELT concepts
Strong Data modeling skill
Knowledge of data mapping, data lineage, and integration frameworks
Familiarity with data quality monitoring and optimization techniques
Understanding of batch processing and production support models
Preferred Skills
Experience with AWS cloud platforms
Python scripting experience
Knowledge of data governance frameworks
Functional Skills
Strong analytical and problem-solving abilities
Experience in managed services or support-based delivery models
Ability to handle production issues and operational escalations
Agile collaboration and stakeholder engagement