Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.*Why PWC
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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities:
Perform analysis of business requirements and develop logical and physical data models for data warehouse to support them
Extensive experience in leading ETL tools like Informatica, Talend, Snaplogic
Provide guidance in the administration of the ETL tools including developing best practices of development, administering security, developing job scheduling and monitoring techniques, and all other system responsibility including creating, configuring and applying patch, creating projects, credential mapping, creating users, changing passwords, start stop applications activities
Analyze business/functional requirements, review the solution architecture, and develop the technical architecture and detailed design
Analyze data issues, identify and articulate the business impact of data problems
Perform code reviews and ensure that all solutions are aligned to pre-defined architectural standards, guidelines, best practices, and meet quality standards
Deploy the solution on a high-availability shared service production environment
Understand and comply with the established software development life cycle methodology
Establish and enhance technical guidelines and best practices for the integration development team
Utilize subject matter expertise in area of enterprise applications, solutions to evaluate complex, sensitive business problems and architect technical solutions
Mandatory skill sets:
Data modelling
Preferred skill sets:
Data Modelling
Years of experience :
8 to 13 years
Education qualification:
Btech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Data ModelingOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
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