IN-Senior Associate_SAP Datasphere_Data & Analytics_Advisory_Pune
IN-Senior Associate_SAP Datasphere_Data & Analytics_Advisory_Pune
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world. We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life. Together we grow learn care collaborate and create a future of infinite experiences foreach other. Learn more about us.
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Key Attributes: - Hands-on experience in DataSphere and strong understanding of usage of objects like Analytical model views Data Flow Replication Flow Task Chain and performance optimization concepts such as data tiering optimization. - Experience in integration of DataSphere with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques. - full life cycle Implementation experience in SAP DataSphere - Hands on Experience in data extraction using standard or Custom extraction. - Strong experience in writing Sql. - Functional Knowledge of various Modules like SD MM FI. - Connectivity of SAP DataSphere with reporting tool like SAC PBI
Mandatory skill sets:
SAP Datasphere
Preferred skill sets:
SAP Datasphere
Years of experience required:
2-8 Years
Education qualification:
BE MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
SAP DatasphereOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
