Line of Service
Advisory
Industry / Sector
Not Applicable
Specialism
Data Analytics & AI
Management Level
Manager
Job 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.
Job Description & Summary : A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.
Responsibilities : 1
Act as a servant leader and coach for project teams ensuring adherence to Agile principles and Scrum practices. Facilitate Scrum ceremonies (daily stand-ups sprint planning reviews and retrospectives) and foster a culture of continuous improvement. Partner with Product Managers to refine prioritize and manage Client product backlogs. Remove impediments manage risks and coordinate across functional / technical teams to ensure smooth delivery. Drive collaboration between business stakeholders consultants developers and QA to align on objectives and deliverables. Track report and communicate sprint progress release status and KPIs to leadership. Guide teams in adopting Agile best practices within Client environments Champion a culture of transparency accountability and value-driven delivery in large-scale Client initiation.
Mandatory skill sets :
Strong analytical and problem-solving skills with attention to detail. Act as a servant leader and coach for project teams ensuring adherence to Agile principles and Scrum practices.
Preferred skill sets :
Champion a culture of transparency accountability and value-driven delivery in large-scale Client initiation.
Years of experience required :
8-12
Education qualification :
/ / MBA / MCA
Education (if blank degree and / or field of study not specified)
Degrees / Field of Study required : Master of Engineering Bachelor of Engineering Bachelor of Technology
Degrees / Field of Study preferred :
Certifications (if blank certifications not specified)
Required Skills
Scrum
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback 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 32 more
Desired Languages (If blank desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship
No
Government Clearance Required
No
Job Posting End Date
Required Experience :
Manager
Key Skills
Anti Money Laundering,Access Control,Content Development,Flex,AC Maintenance,Application Programming
Employment Type : Full-Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 8 - 12
Analytic • Pune, Maharashtra, India