Senior - SAP-Analytics

Reposted 2 Months Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Fintech • Professional Services • Software • Financial Services
The Role
Design and implement semantic data models and analytical models in SAP Datasphere; build ETL/data pipelines, Data Builder and SQL views; create and optimize CDS views; configure replication flows and data access control; monitor and troubleshoot data integration; ensure governance and performance best practices; collaborate with functional and analytics teams to deliver end-to-end data solutions.
Summary Generated by Built In

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Responsibilities

We are looking for a skilled SAP Datasphere Developer with hands-on experience in data modeling, transformation and ETL within SAP Datasphere. The candidate should have good understanding of CDS views, replication flows, and integration with SAP and non-SAP systems.

 Key Responsibilities -

  • Design and implement semantic data models in SAP Datasphere using business layer and analytical models.
  • Develop data pipelines for ingestion, transformation, and harmonization of data from multiple sources.
  • Configure Data Builder for creating tables, views, and transformations.
  • Create and optimize CDS views for data extraction from SAP S/4HANA or ECC systems.
  • Set up and manage Replication Flows for real-time and batch data synchronization.
  • Set up tasks chains for automation of jobs
  • Set up Data Access Control for data level authorizations.
  • Build SQL based views
  • Work with Data Integration Monitor to troubleshoot and optimize replication performance.
  • Implement assessment of SAP roadmap and impact on Datasphere
  • Ensure compliance with data governance, security policies and performance best practices.
  • Collaborate with functional and analytics teams to deliver end-to-end data solutions.
    • Data Builder (Tables, Views, Transformations)
    • Business Builder (Business Entities, Semantic Models)
    • Data Integration (Replication Flows, Remote Tables, Data Flows)
    • SQL based Views

 

Technical Skills Required: -

SAP Datasphere Core Components: 

SAP Integration: 

  • CDS Views for extraction
  • ODATA Connections
  • Understanding of APIs for data extraction
Qualifications

Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. 

  • Graduation (BCOM, BE / BTech, Similar education related to IT) / Post Graduation (MBA /PGDM / MCA / MTech)
  • ICWA/CA Final as a qualification is preferred
  • Problem solving skills, pro-active, creativity and can-do attitude
  • Possess strong analytical, incident resolution and critical thinking skills
  • Quality decision making
  • Good Communication skils
  • Have developed very good interpersonal communication and user support management
  • SAP Certification preferred

Skills Required

  • Hands-on experience in SAP Datasphere for data modeling, transformation and ETL
  • Experience designing semantic and analytical models (Business Builder)
  • Configure and use Data Builder (tables, views, transformations)
  • Create and optimize CDS views for extraction from SAP S/4HANA or ECC
  • Set up and manage Replication Flows (real-time and batch)
  • Experience with Data Integration Monitor and troubleshooting replication performance
  • Knowledge of Data Access Control and data-level authorizations
  • Proficiency with SQL and building SQL-based views
  • Experience with ODATA connections and APIs for data extraction/integration
  • Graduation (BCOM, BE/BTech) or Post Graduation (MBA/PGDM/MCA/MTech)
  • SAP Certification
  • ICWA/CA Final
  • Strong problem solving, analytical, communication and interpersonal skills
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The Company
HQ: New York, NY
30,867 Employees

What We Do

KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients. Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.

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