Upload Button Icon Add office photos
Engaged Employer

i

This company page is being actively managed by Capgemini Team. If you also belong to the team, you can get access from here

Capgemini Verified Tick

Compare button icon Compare button icon Compare

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

zig zag pattern zig zag pattern
filter salaries All Filters

2073 Capgemini Jobs

SAP Datasphere

Capgemini

posted 5d ago

Job Description


 Primary Skills 
  • Must have more than a year of Hands-on experience in Datasphere. Experienced with Space, Replication flow, Data builder and Business builder, Business content, Housekeeping activity etc.
  • Experience and ability to grasp functional knowledge in areas covered by reporting portfolio (finance, billing) spacing from analysis to solutiondeployment.
  • Excellent analytical skills with a focus on designs to cover analytics datamodels
  • Experience in building end to end data flows.
  • Experience in fixing day to day issues such as batch failures,identify,analyzeand fix data issues etc


  •  Secondary Skills 
  • Experience in SAC
  • Good Communication Skills


  • Equal Opportunities at frog

    Frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

    Employment Type: Full Time, Permanent

    Read full job description

    Capgemini Interview Questions & Tips

    Prepare for Capgemini roles with real interview advice

    Top Capgemini Interview Questions

    Q1. In a dark room,there is a box of 18 white and 5 black gloves. You are allowed to pick one and then you are allowed to keep it and check it o ... read more
    Q2. N-th Fibonacci Number Problem Statement Given an integer ‘N’, your task is to find and return the N’th Fibonacci number using matrix expone ... read more
    Q3. How can you cut a rectangular cake in 8 symmetric pieces in three cuts?
    View all 3k questions

    What people at Capgemini are saying

    What Capgemini employees are saying about work life

    based on 41.9k employees
    71%
    88%
    64%
    84%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Capgemini Benefits

    Submitted by Company
    Salary
    Flexible working
    Leave
    Mobility
    Pension
    Submitted by Employees
    Work From Home
    Cafeteria
    Soft Skill Training
    Health Insurance
    Job Training
    Gymnasium +6 more
    View more benefits

    Compare Capgemini with

    Wipro

    3.7
    Compare

    Accenture

    3.8
    Compare

    Cognizant

    3.7
    Compare

    TCS

    3.7
    Compare

    Infosys

    3.6
    Compare

    Tech Mahindra

    3.5
    Compare

    LTIMindtree

    3.8
    Compare

    Genpact

    3.8
    Compare

    NTT DATA, Inc.

    4.0
    Compare

    IBM

    4.0
    Compare

    Mphasis

    3.4
    Compare

    Deloitte

    3.8
    Compare

    Google

    4.4
    Compare

    Amazon

    4.1
    Compare

    DXC Technology

    3.7
    Compare

    PwC

    3.4
    Compare

    KPMG India

    3.5
    Compare

    Microsoft Corporation

    4.0
    Compare

    Ernst & Young

    3.4
    Compare

    Bosch Global Software Technologies

    3.9
    Compare

    Similar Jobs for you

    Senior Data Scientist at MARSH MCLENNAN GLOBAL SERVICES INDIA PRIVATE LIMITED

    Gurgaon / Gurugram

    7-11 Yrs

    ₹ 9-12 LPA

    Developer at Droom Technology Pvt. Ltd.

    Gurgaon / Gurugram

    2-5 Yrs

    ₹ 5-8 LPA

    Channel Operations Manager at Honeywell

    Pune

    5-8 Yrs

    ₹ 7-12 LPA

    Data Scientist at Genpact

    Hyderabad / Secunderabad, Gurgaon / Gurugram + 1

    6-11 Yrs

    ₹ 14-24 LPA

    Data Science Manager at Qualcomm india pvt ltd.

    Hyderabad / Secunderabad

    7-11 Yrs

    ₹ 12-22 LPA

    Finance Manager at Educomp Solutions Ltd.

    Chennai

    2-5 Yrs

    ₹ 4-7 LPA

    Data Scientist at IBM India Pvt. Limited

    Bangalore / Bengaluru

    5-10 Yrs

    ₹ 7-12 LPA

    Assistant Data Scientist Manager at KPMG Global services private limited

    Bangalore / Bengaluru

    6-10 Yrs

    ₹ 15-25 LPA

    Financial Data Specialist at Moodys Investors Service

    Bangalore / Bengaluru

    3-9 Yrs

    ₹ 12-13 LPA

    Application Lead at Accenture Solutions Pvt Ltd

    Bangalore / Bengaluru

    7-10 Yrs

    ₹ 10-15 LPA

    Capgemini Pune Office Location

    View all
    Pune, Maharashtra Office
    Headquarter
    Plot No.14, Rajiv Gandhi Infotech Park, Hinjewadi, Phase-III, MIDC-SEZ, Village Man, Taluka Mulshi, Pune, Maharashtra, India, 411057 Pune, Maharashtra
    411057

    SAP Datasphere

    4-9 Yrs

    Pune

    5d ago·via naukri.com

    AP Invoice Processing Process Expert - A

    2-6 Yrs

    Kolkata

    20hr ago·via naukri.com

    Business Advisor - A

    2-5 Yrs

    Bangalore / Bengaluru

    20hr ago·via naukri.com

    Delivery Excellence Head

    15-25 Yrs

    Kolkata

    22hr ago·via naukri.com

    GCC Sales Lead

    16-25 Yrs

    Bangalore / Bengaluru

    22hr ago·via naukri.com

    Staffing & Operation Lead

    16-20 Yrs

    Mumbai, Pune

    22hr ago·via naukri.com

    Engagement Director

    15-16 Yrs

    Kolkata

    22hr ago·via naukri.com

    SAP Data Delivery Lead

    15-20 Yrs

    Bangalore / Bengaluru

    22hr ago·via naukri.com

    Recently Viewed

    JOBS

    HDFC Bank

    No Jobs

    JOBS

    Accenture

    No Jobs

    JOBS

    Rexel

    No Jobs

    JOBS

    Browse jobs

    Discover jobs you love

    LIST OF COMPANIES

    DBS Bank

    Overview

    JOBS

    Bosch

    No Jobs

    JOBS

    DBS Bank

    No Jobs

    JOBS

    DCB Bank

    No Jobs

    JOBS

    SBFC Finance

    No Jobs

    write
    Share an Interview
    How was your last interview experience?
    Rate your experience using AmbitionBox
    Terrible
    Terrible
    Poor
    Poor
    Average
    Average
    Good
    Good
    Excellent
    Excellent