<p>We are seeking an experienced SAP Developer to design, build, and support SAP applications that enhance business processes and drive operational efficiency. The ideal candidate will have strong technical expertise across SAP modules, hands-on development experience, and the ability to collaborate with cross-functional teams to deliver high-quality solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop, customize, and maintain SAP applications using ABAP, ABAP OO, CDS views, BAPIs, BADIs, and user exits.</li><li>Build and support integrations between SAP and external systems using IDocs, APIs, RFCs, OData services, and middleware tools.</li><li>Work with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Troubleshoot, optimize, and enhance existing SAP programs and workflows to improve performance.</li><li>Support SAP upgrades, migrations, and enhancement pack implementations.</li><li>Create technical documentation, test plans, and deployment materials.</li><li>Partner with functional teams (FI/CO, MM, SD, PP, WM, etc.) to deliver end‑to‑end solutions.</li><li>Ensure development follows SAP best practices, security standards, and transport management procedures.</li><li>Participate in code reviews and contribute to continuous improvement of development standards.</li></ul><p><br></p>
<p><strong>Data Pipeline Development</strong></p><ul><li>Design, build, and optimize scalable ETL/ELT pipelines to support analytics and operational workflows.</li><li>Ingest structured, semi-structured, and unstructured data from multiple internal and external sources.</li><li>Automate and orchestrate data workflows using tools like Airflow, Azure Data Factory, AWS Glue, or similar.</li></ul><p><strong>Data Architecture & Modeling</strong></p><ul><li>Develop and maintain data models, data marts, and data warehouses (relational, dimensional, and/or cloud-native).</li><li>Implement best practices for data partitioning, performance optimization, and storage management.</li><li>Work with BI developers, data scientists, and analysts to ensure datasets are structured to meet business needs.</li></ul><p><strong>Cloud Engineering & Storage</strong></p><ul><li>Build and maintain cloud data environments (Azure, AWS, GCP), including storage, compute, and security components.</li><li>Deploy and manage scalable data systems such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.</li><li>Optimize cloud data cost, performance, and governance.</li></ul><p><strong>Data Quality & Reliability</strong></p><ul><li>Implement data validation, error handling, and monitoring to ensure accuracy, completeness, and reliability.</li><li>Troubleshoot pipeline failures, performance issues, and data discrepancies.</li><li>Maintain documentation and data lineage for transparency and auditability.</li></ul><p><strong>Collaboration & Cross‑Functional Support</strong></p><ul><li>Partner with product, engineering, and analytics teams to translate business requirements into technical solutions.</li><li>Support self-service analytics initiatives by preparing high-quality datasets and data products.</li><li>Provide technical guidance on data best practices and engineering standards.</li></ul><p><br></p><p><br></p>
