IN_Senior Associate_Azure Data Engineering _GCC_Advisory_Bangalore

PwC; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

PwC Bengaluru is seeking an Azure Cloud Data Engineer to join our data analytics team. You will design, develop, and optimize scalable data solutions on the Azure platform, building data pipelines and transforming complex data into actionable insights.

Responsibilities include writing Python for automation, implementing ETL workflows, and integrating data sources with Databricks, Data Factory, and BI tools, following Git practices and security norms.

Qualifications

• Strong Python programming and SQL skills with cloud experience.
• Hands-on experience with Azure Databricks and Data Factory.
• Experience in building scalable ETL pipelines and data warehousing.

Responsibilities

• Design, develop, and manage scalable data pipelines on Azure Databricks and Data Factory.
• Write Python for cloud automation, data processing, and orchestration.
• Architect cloud-based data solutions integrating structured and unstructured data.
• Build and optimize ETL workflows across platforms.
• Develop data models for OLTP and OLAP support.
• Manage Azure storage including Data Lake and Blob Storage.
• Troubleshoot performance bottlenecks in data flows and ETL processes.
• Integrate advanced analytics and BI use cases in Azure.
• Lead code reviews and adhere to Git version control.
• Contribute to enterprise data warehousing design.
• Stay current with Azure tech and Python ecosystem.

Skills

Azure Databricks

Python

SQL

Azure Data Factory

Azure Blob Storage

Azure Data Lake Storage

Apache Spark

Data Modeling

Data Warehousing

Git

ETL Pipelines

Education

BE/B.Tech

MBA

MCA

Tools

Databricks Platform

Job description

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 skilled Azure Cloud Data Engineer with strong expertise in Python programming , Databricks , and advanced SQL to join our team in 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 and Azure Data Factory.
• Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration.
• 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 cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.

Mandatory skill sets:

• Strong Python programming skills (Must-Have) - advanced scripting, automation, and cloud SDK experience
• Strong SQL skills (Must-Have)
• Azure Databricks (Must-Have)
• Azure Data Factory
• 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 (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 2-3 years of hands-on experience with Azure cloud services.

Proven track record of strong Python development with at least 2-3 years of hands-on experience.

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 Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Databricks Platform

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity,