INSenior AssociateData EngineerData and AnalyticsAdvisoryNoida
Job Summary
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.
Job Description & Summary: We are looking for a skilled Azure Cloud Data Engineer with strong expertise in Databricks Advanced SQL and in Pyspark programming to join our team in BLR/Noida. The candidate will be responsible for designing developing and optimizing scalable data solutions on the Azure cloud platform. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies.
Responsibilities: Design develop and manage scalable and secure data pipelines using Azure Databricks 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. Manage Azure-based storage solutions including Azure Data Lake and Blob Storage. Troubleshoot performance bottlenecks in data flows and ETL processes. Integrate advanced analytics and support BI use cases within the Azure 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 Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools
Mandatory skill sets:
Strong SQL skills (Must-Have) Azure Databricks (Must-Have) Pyspark (Must-Have) Azure Blob Storage / Azure Data Lake Storage Apache Spark (hands-on experience) 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 Synapse Analytics Azure DevOps for CI/CD integration Agile delivery methodologies
Years of experience required:
4-8 years
Education qualification:
(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
Data ScienceOptional 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 (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
May 13 2026Required Experience:
Senior IC
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more