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 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 EngineeringCertifications (if blank, certifications not specified)
Required Skills
Adobe AnalyticsOptional 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 SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
June 23, 2026By continuing you agree to our Terms & Privacy Policy.