What are the responsibilities and job description for the SAP DATA Developer position at IBM - Avature?
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting.
In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. • Roll out technical and functional aspects of SAP Data and Analytics solutions. Plan, design, implement, and support SAP Data and Analytics based solutions.• Review business requirement documents and conduct gap analysis with functional team to ensure correct ETL (extract transform and load) and reporting requirements.• Align business requirements into technical specifications to finalize data analytics requirement.
Perform effort estimation, resource planning, tasks assignment, and delivery planning to ensure timely execution and delivery. Working on BODS job developments, loads.• Assess delivery risk and suggest risk mitigation plan to ensure timely delivery of business-critical reports and data loads. Conduct knowledge transfer sessions for end users.• Develop ETL (Extract, Transform and Load) programs with SAP Business objects data services and HANA smart data integration and Smart Data Quality (SDI & SDQ) to facilitate data extraction, cleansing, harmonization, deduplication and conversion from legacy systems to SAP ECC and S/4 HANA.• Monitor and stage data extraction and cleansing from different source systems in the SQL server or Enterprise HANA. Translate business rules to technical procedure and data validation scripts to monitor data readiness.• Analyze data models against reporting data glossary to fill in gaps for missing objects.
Collaborate with data modelling team to absorb data model changes of different software releases
In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. • Roll out technical and functional aspects of SAP Data and Analytics solutions. Plan, design, implement, and support SAP Data and Analytics based solutions.• Review business requirement documents and conduct gap analysis with functional team to ensure correct ETL (extract transform and load) and reporting requirements.• Align business requirements into technical specifications to finalize data analytics requirement.
Perform effort estimation, resource planning, tasks assignment, and delivery planning to ensure timely execution and delivery. Working on BODS job developments, loads.• Assess delivery risk and suggest risk mitigation plan to ensure timely delivery of business-critical reports and data loads. Conduct knowledge transfer sessions for end users.• Develop ETL (Extract, Transform and Load) programs with SAP Business objects data services and HANA smart data integration and Smart Data Quality (SDI & SDQ) to facilitate data extraction, cleansing, harmonization, deduplication and conversion from legacy systems to SAP ECC and S/4 HANA.• Monitor and stage data extraction and cleansing from different source systems in the SQL server or Enterprise HANA. Translate business rules to technical procedure and data validation scripts to monitor data readiness.• Analyze data models against reporting data glossary to fill in gaps for missing objects.
Collaborate with data modelling team to absorb data model changes of different software releases
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