SAP Senior Consultant Jobs in Chennai - For a Client of Teamlease Digital
FEATURED JOBSAP Senior Consultant
8 to 15 Years 
200000 - 300000 Monthly 
LLM, B.Arch, Certificate Course (ITI), Diploma, M Phil / Ph.D, B.Com, B.Pharm, BA, M.Arch, M.Com, M.Pharm, MA, BBA/BBM, BCA, BDS, BE/B.Tech, MBA/PGDM, BEd, BHM, BSc, MCA, MD, MDS, ME/M.Tech, BVSc, CA, CS, ICWA, LLB, MBBS, MEd, MHM, MS, MSc, MSW, PG Diploma, 10th Pass (SSC), 12th Pass (HSE), No Education/Schooling, Upto 9th Std, Vocational Training, B.Design, B.FashionTech, BFA, BAMS, BHMS, MVSc, B.P.Ed, MPEd, B.F.Sc(Fisheries), M.F.Sc(Fisheries), BSW, Other Graduate, Other Post Graduate 
Job Description
An SAP Datasphere developer designs, develops, and implements solutions to meet business requirements using SAP Datasphere.
Responsibilities include:
Understanding business needs - Collaborating with clients to understand their business requirements and translating them into technical specifications
Designing and implementing data models, data flows, and data integration processes
Optimizing and maintaining existing SAP Datasphere applications for performance and scalability
Ensuring data quality, consistency, and security across all SAP Datasphere solutions
Providing technical support and troubleshooting for SAP Datasphere-related issues
Staying updated with the latest SAP Datasphere features and best practices
Job Responsibilities:
Understanding business requirements: Working with customers to understand their business needs
Building solutions: Designing, building, testing, and supporting solutions based on SAP Datasphere and SAP Analytics Cloud
Analyzing data: Using analytical tools to model data, key performance indicators, and market data
Delivering solutions: Managing the full life cycle of SAP analytics solutions, from discovery to support
Ensuring data quality: Implementing and managing data governance processes to ensure data quality and compliance
Optimizing data storage: Improving system performance and reducing costs by optimizing data storage and retrieval processes
Designing data models: Designing and developing data models using SAP Datasphere
Integrating data: Integrating data from various sources into SAP Datasphere
Ensuring data flow: Ensuring seamless data flow and consistency across systems
Configuring SAP Datasphere: Configuring and customizing SAP Datasphere to meet business requirements
