Design and develop SAP BW solutions, including InfoObjects, DSOs, Transformations, Process Chains, and Queries

Create SAP HANA native models like Calculation Views, CDS Views, Stored Procedures, and SQLScript for backend data handling and aggregation

Build scalable data architectures and workflows to support analytics and operational reporting

Develop ETL processes to extract, transform, and load data from sources such as SAP ECC, SAP S/4HANA, and other non-SAP systems

Enable interactive dashboards and real-time reporting in SAP Analytics Cloud (SAC) and visual tools such as Spotfire in collaboration with frontend teams

Address data discrepancies and ensure high-quality data by monitoring and troubleshooting data flows

Enhance the performance and scalability of data processing for large datasets and workflows

Work closely with engineers, business analysts, and solution architects to gather requirements and design tailored solutions

Support Agile (SAFe) methodologies through sprints, planning, and retrospectives

Knowledge of SAP BW development, including InfoObjects, DataSources, DSOs, Transformations, Process Chains, and Queries

Proficiency in SAP HANA native modeling, such as Calculation Views, Procedures, CDS Views, and SQLScript

Skills in ETL and data pipeline design within SAP BW or HANA environments

Expertise in integrating SAP systems including ECC and S/4HANA with external third-party tools

Competency in database optimization and performance tuning

Familiarity with tools like Web IDE for SAP HANA and SAP BW/4HANA platforms

Understanding of Agile collaboration tools such as Jira, Confluence, or ADO

Bachelor's degree in Computer Science, Engineering, or related disciplines

5+ years of direct experience in SAP BW and HANA development roles

Flexibility to use ABAP programming for BW-specific activities such as extractor development or code optimization

Capability to optimize workflows and manage large-scale datasets effectively

Strong interpersonal collaboration within Agile teams

Background in manufacturing or engineering domains, especially in quality assurance or supply chain analytics, is an advantage