Indiglobe IT Solutions

4 weeks ago

BangaloreHyderabad, India Indiglobe IT Solutions Pvt. Ltd. Full time

Role : SAP Data & Analytics Architect

Roles & Responsibilities :


- 10+ years of experience with strong SAP BW/4HANA background and expertise in SAP Datasphere with SAP S4/HANA, HANA Modeling, SQL Skills, and big data with enterprise data warehousing

- 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 cross-functional 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 database-related issues, performing regular maintenance tasks like backup and recovery, and applying patches and upgrades

- Work with cross-functional 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

Requirements :

- 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.

Skills : Hana, Sap, Analytics, Data, Sql

(ref:hirist.tech)

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