IN_Senior Associate_Data Engineer and Pytho_Data and Analytics_Advisory_Bangalore
Price Waterhouse Coopers · Bengaluru · onsite · Posted 55d ago
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About this role
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
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/MC
Education
Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications
Required Skills
Data Engineering, Python (Programming Language)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline + 38 moreDesired Languages
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
August 19, 2026Sourced from foundit
Skills
About PwC

Price Waterhouse Coopers
Management Consulting
30k+
employees
1880
146 years old
Bangalore / Bengaluru, Karnataka
India
₹18.4L PA avg
Avg at PwC
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