- Experience 8 Years of overall experience on SAP analytics and Data integration technologies with experience in one data intelligence project around MLOps or DataOps scenarios.
- Building highly scalable Integration and Orchestration pipelines across various sources and targets with SAP Data Intelligence Data Hub platform Work with heterogeneous data sources including structured unstructured and streaming Handle Deployment of Integration pipelines to the QA and Prod systems using CI CD approach Coordinate with the technology experts with respect to the various sources like SAP BW S4HANA other non-SAP RDBMS sources Data lakes and streaming for communication in connection with the integration pipelines.
- Handling CDC and other ETL and ELT requirements Handling Data Governance and Data Quality Aspects Working with Metadata catalogue and the data linage Coordinate with different functional teams to implement end to end data pipelines.
- Develop processes and tools to monitor and analyse pipeline performance and data accuracy Driving DevOps and DataOps Ability to architect the automation of the end to end data operations in terms of connect collect organize transform and load the data to the target requirements.
- Experience working with SAP Data Intelligence Data Hub on building end to end integration and orchestration pipelines both on premise and cloud Understanding on SAP BW BW4HANA S4HANA systems in terms of connecting with them using various connection options and triggering the workflows Should be well versed in connectivity with a strong focus on Big Data components such as Hadoop cloud stores machine learning services and real time messaging technologies.
- SAP Data Intelligence 6 – 9 years of experience
- Exposure on the SAP DI internal data lake storage and Vora storage Well versed in handling CDC Delta loads from SAP sources like BW4HANA Native HANA and SLT Understanding on Open API concept to read and write data using RESTful API s and ODATA Services Well versed with various operators for workflow trigger transformations conversions data masking data validation.
- Strong open source scripting like python and NodeJS for custom transformations Should be capable enough on working with native connectivity to SAP S 4 HANA and SAP BW 4HANA and communicate well with the respective SME s in case of issue rectification Understanding on BW process chains HANA flow graphs
- Data Services jobs and CPI Inflows to trigger them from SAP DI as part of data orchestration Having experience with Data Science Machine Learning such as Tensor Flow and SAP Leonardo is a strong plus.