Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : SAP BTP Datasphere Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Independently deliver defined SAP Datasphere data-integration, modeling, assessment and remediation activities with traceable evidence. Roles & Responsibilities: a) Configure connections, remote tables, replication flows, data flows, transformation flows, SQL or graphical views, spaces and analytical models. b) Build and validate source-aligned, harmonized and consumption-ready data models with appropriate semantics, measures, hierarchies and associations. c) Execute data profiling, reconciliation, delta validation, data-quality checks, performance testing and failed-load recovery document findings. d) Implement role and space assignments, data access controls, cross-space sharing, lineage documentation and operational runbooks. e) Support SAP Analytics Cloud consumption, APIs or other approved clients, release validation, monitoring and incident resolution. f) Maintain RAG ratings, risks, dependencies, technical decisions and remediation actions with evidence traceability. Professional & Technical Skills: a) Must To Have Skills: SAP Datasphere, data integration, federation and replication, spaces, data flows, transformation flows, SQL and graphical modeling, analytical models, semantic modeling, security and governance. b) Good to have Skills: SAP Business Data Cloud, SAP Analytics Cloud, SAP BW or BW/4HANA, BW bridge, SAP HANA Cloud, SLT, ODP, CDS extraction, data products and enterprise data-platform integration. c) Experience designing SAP and non-SAP source connectivity, layered data models, data quality, lineage, cataloging, access controls, reconciliation and operational monitoring. d) Ability to choose federation or replication based on latency, volume, source load, transformation, retention, performance and recovery needs. e) Demonstrated experience in distressed programme or workstream diagnostics, stabilization, turnaround planning, remediation governance and recovery execution, with evidence of improving delivery confidence, data or application quality, performance, operational stability or go-live readiness. AI and Digital Expectations: a) Use SAP Generative AI, Joule, Microsoft Copilot and other approved AI tools to analyse programme documents, technical artefacts, code or data models, tests, incidents, RAID logs and delivery data identify patterns, dependencies, inconsistencies and improvement opportunities.