Senior Big Data Engineer
PriceWaterhouseCoopers Pvt Ltd ( PWC )
Work from Office
Full Time
Min. 5 yearsJob Description
IN-Manager_Scrum Master_Data and Analytics_Advisory_Hyderabad
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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 for our 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 for each 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 firm’s 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 organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations 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:
Lead and coach multiple Scrum teams delivering AI and data solutions across cloud platforms
Facilitate Agile ceremonies: sprint planning, daily stand-ups, retrospectives, and reviews
Awareness on Application of SAFe principles to coordinate across Agile Release Trains (ARTs) and manage dependencies
Collaborate with Product Owners, AI Engineers, Cloud Architects, and Data Scientists
Drive delivery excellence by removing impediments and optimizing team velocity
Track sprint progress, KPIs, and milestones using tools like Jira, Azure DevOps, or Rally
Engage directly with enterprise clients to align delivery with strategic goals
Support PI Planning, Scrum of Scrums, and Inspect & Adapt workshops
Mandatory skill sets:
5+ years of experience as a Scrum Master or Agile Delivery Lead
Proven success delivering AI/ML, Data Analytics, or Agentic AI programs
Strong understanding of Azure or AWS cloud ecosystems
Experience working with multi-national enterprise clients in a consulting environment
Excellent facilitation, coaching, and stakeholder management skills
Preferred skill sets:
Agile certifications: CSM, PSM, SAFe Scrum Master (SSM) or SAFe Program Consultant (SPC) preferred
Hands-on experience with SAFe Agile implementation and coordination across teams
Years of experience required:
3 to 12
Education qualification:
BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Azure DevopsOptional 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 Development, 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
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
May 31, 2026Experience Level
Mid LevelJob role
Job requirements
About company
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