Bengaluru Millenia, India
Onsite
Not Available
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.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 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:
We’re looking for a strong Python developer with solid hands-on experience in building automation scripts, working with data transformation libraries, and writing clean, modular, object-oriented code. The role demands deep comfort with Python and its ecosystem.
Expert in Python with strong understanding of OOPs, data structures, and design principles.
Hands-on with Pandas and NumPy for complex data manipulation and transformation.
Experience in building automation scripts and frameworks for data and system workflows.
Familiar with REST API integration/development in Python for reporting, cataloging, or orchestration.
Solid exposure to UNIX/Linux environments with working knowledge of shell scripting.
Exposure to KDB+/q, especially concepts like rdb, hdb, and tick data.
Understanding of high-frequency or time-series data processing.
Write clean, production-ready Python code.
Are comfortable owning end-to-end automation workflows.
Can work independently in a Linux-heavy setup and collaborate across data & engineering teams.
Have a passion for optimizing and automating wherever possible.
Mandatory skill sets:
Expert in Python with strong understanding of OOPs, data structures, and design principles.
Hands-on with Pandas and NumPy for complex data manipulation and transformation.
Experience in building automation scripts and frameworks for data and system workflows
preferred skill sets:
Exposure to KDB+/q, especially concepts like rdb, hdb, and tick data.
Understanding of high-frequency or time-series data processing.
Years of experience required:
Experience: 4-8 Years
Education qualification:
B.Tech / M.Tech / MCA/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Artificial Intelligence (AI), Machine LearningOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
May 22, 2026Want to know if this job is worth applying to?