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 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.

Why PWC

At 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: We are looking for a highly skilled Azure Cloud Data Engineer with over 6 years of experience in designing and building scalable data solutions on Microsoft Azure. This role is based in Noida and requires deep expertise in Azure Data Services, ETL pipelines, and modern data architecture. The ideal candidate will contribute significantly to project delivery, collaborate with stakeholders, and ensure high standards in data engineering practices. 

Responsibilities: 

 

•  Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory. 

•  Architect and implement cloud-based data solutions, integrating structured and unstructured data sources. 

•  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 technologies and big data trends to apply best practices. 

Mandatory skill sets: 

 

Strong SQL skills (Must-Have) 

Azure Databricks (Must-Have) 

Azure Data Factory 

Azure Blob Storage / Azure Data Lake Storage 

Python Programming (Intermediate Expertise) 

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 (Good to Have): 

 

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: 

 

6+ years of overall experience in cloud engineering or data engineering roles, with at least 3+ years of hands-on experience with Azure cloud services. 

Education qualification: 

 

BE/B.Tech/MBA/MCA 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

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 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