Indiglobe IT Solutions - Bengaluru, India - Indiglobe IT Solutions Pvt. Ltd.

Description

• Create Analytical models in SAP Datasphere by integrating SAP and Non-SAP sources.
• Create complex SQL views in SAP Datasphere by integrating SAP & Non-SAP sources.
• Experience in deriving partitions using SLT for SAP S/4, ECC tables.
• Create replication flows from SAP transaction systems ECC, S/4HANA, etc.
• Enable data virtualization and data federation capabilities using SAP Datasphere
• Create views, entity relationship models with local and remote tables in Datasphere.
• Create spaces and set up security (roles and user management) in Datasphere for all functional areas.
• Design, develop, and migrate data analytics solutions by sourcing data from SAP ECC, S/4 HANA, to SAP Datasphere environments.
• Experience in SAP BW, BW/4HANA migrations using BW Bridge (Shell & Remote)
• Strong experience in integrating SAP Datasphere with Hyperscaler solutions GCP, GBQ, Synapse, AWS S3, Redshift etc.
• SAP Datasphere integration with Snowflake
• Design and develop complex CDS view for Datasphere consumption.
• Develop CDS views from S/4HANA Embedded Analytics platform and integrate with SAC.
• Demonstrate solutions by using ABAP, AMD, SQL code development.
• Complex CDS views creation for Datasphere and SAP Analytics Cloud consumption
• Experience working with crossfunctional teams to manage the impact of SAP ECC to S/4HANA migration on analytics reporting for sales, purchase, finance, and planning business areas.
• Strong SAP HANA data modeling and performance optimization skills
• Ability to extract, manipulate, transform, and analyze large volumes of data with a high level of accuracy.
• Must have hands on experience in all areas of SAP BW/4 HANA, which includes Modelling, Extraction and reporting
• SAP BW/4 HANA Traditional BW (ADSO, CP etc)plus Native HANA based BW/4 HANA using CDS views on S/4 HANA is required
• Experience on SAP BW/4 HANA, SAP BO security concepts, Authorizations, roles, teams and collaborations
• Hands on experience, BEx reports & CDS view creation in SAP BW/4 HANA
• Must have worked on both SAP BW, S/4 HANA and Non-SAP Data source for consuming data in SAP Analytics Cloud using both Live Data and Import Data connections
• Experience of architecture, administration, data provisioning, data modeling, and performance optimization
• Proficiency in designing and optimizing database structures, including data models, tables, indexes, and partitions, to ensure efficient storage, retrieval, and processing of data
• Knowledge and adherence to database security principles and best practices, including access controls, encryption, and compliance requirements such as (ITAR/EAR/DFAR)
• Proficiency in troubleshooting databaserelated issues, performing regular maintenance tasks like backup and recovery, and applying patches and upgrades
• Work with crossfunctional teams to gather analytics requirements, assessing the data that is available in sources such as SAP S/4HANA, Ariba, Concur, Successfactors, MDG etc.
• Reporting knowledge in SAP ECC 6.0 such as CDS views, SAP Fiori
• Knowledge in 3rd party tools such as Power BI, Tableau on top of SAP data

• Bachelor's degree in computers
• SAP Datasphere and SAP Analytics Cloud experience
• Experience on SAP Native HANA, HANA XS advanced is plus
• SAP Data Analytics Architecture and assessment using SAP Datasphere and SAP Analytics Cloud
• SAP ECC to S/4HANA transformation impact analysis experience on SAP Data & Analytics space
• Azure, GCP, AWS expertise related to solution architecture, data management and/or data engineering a plus.
• Working knowledge of data science, data mining, OLAP programming, database management and programming, business process modeling and analysis.
• Big data tools: Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc is plus.
• Data pipeline and workflow management tools: AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents)
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
• Experience with message queuing, stream processing, and highly scalable 'big data' data stores.
• Experience manipulating structured and unstructured data for analysis
• Experience constructing complex queries to analyze results using databases or in a data processing.