Senior Associate - Adobe Target Quality Assurance
PriceWaterhouseCoopers Pvt Ltd ( PWC )
Apply on company website
Senior Associate - Adobe Target Quality Assurance
PriceWaterhouseCoopers Pvt Ltd ( PWC )
Noida
Not disclosed
Job Details
Job Description
IN_Senior Associate_Data Engineer and Python _Data and Analytics_Advisory_Noida
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.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.
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 EngineeringDegrees/Field of Study preferred:Certifications (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, 2026Experience Level
Senior LevelJob role
Work location
Noida, India
Department
Data Science & Analytics
Role / Category
Advertising & Creative
Employment type
Full Time
Shift
Day Shift
Job requirements
Experience
Min. 4 years
About company
Name
PriceWaterhouseCoopers Pvt Ltd ( PWC )
Job posted by PriceWaterhouseCoopers Pvt Ltd ( PWC )
Apply on company website