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Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
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.
Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.
*Why PWCAt 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 with in....................
Responsibilities: Design, develop, and manage scalable and secure data pipelines using Databricks and PySpark. Architect and implement cloud-based data solutions, integrating structured and unstructured data sources. Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration. Build and optimize ETL workflows and ensure seamless data integration across platforms. Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems. Troubleshoot performance bottlenecks in data flows and ETL processes. Integrate advanced analytics and support BI use cases within the Cloud ecosystem. Lead code reviews and ensure adherence to version control practices (e.g., Git). Contribute to the design and deployment of enterprise-level data warehousing solutions. Stay current with Cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
Mandatory skill sets:
• Strong SQL skills (Must-Have) • Databricks (Must-Have) • Python programming (Must-Have) • Spark (Must-Have) • Data modeling (Normalization & Denormalization) • Data warehousing and BI tools integration • Git (Version Control) • Building scalable ETL pipelines
Preferred skill sets:
Understanding of OLTP and OLAP environments , Experience with Kafka and Hadoop , Azure Cloud knowledge , Azure DevOps for CI/CD integration , Agile delivery methodologies
Years of experience required:
8-12 years
Education qualification:
BE/B.Tech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Adobe Analytics
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights, Data Ingestion + 34 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
June 23, 2026
Job ID: 151138235
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