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YASH Technologies, Inc. is seeking SAP ABAP HANA professionals with 5+ years of ABAP experience and at least two implementations. The role covers migration from SAP ECC to S/4HANA, data migration projects, and development of ABAP objects, interfaces, and reports.
Required skills include Core ABAP, OO-ABAP, CDS Views/AMDPs, newer ABAP syntax (7.5), and ODATA. Strong communication with clients is essential for success in a fast-paced, global delivery environment.
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YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting‑edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
Mandatory skills: Core ABAP, OO-ABAP, CDS Views / AMDPs, Newer ABAP syntaxes (7.5), ODATA
Strong knowledge of ABAP with a minimum of 5+ years of experience with a minimum of 2 Implementation experience
Hands‑on experience in ABAP/ABAP Objects, Dialog programming, User‑exits, BADIs, Smart Forms, ALV, RFCs, and other SAP development tools.
The candidate should be able to migrate master data from SAP ECC to S/4 HANA
Experience working on Data migration projects
Must have a working experience in Adobe form, ODATA, and CDS.
Should be able to manage the design, develop technical objects, and revise technical designs to meet ABAP project requirements.
Should be able to perform necessary fixes and enhancements and collaborate with functional owners, architects, and other personnel for development
Very Good communication skills to interact with the client and expertise in understanding Technical requirements
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career‑oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.