IN_Senior Associate_Azure Data Engineering _GCC_Advisory_Bangalore

PwC South Africa; Bengaluru; On-site; Confidential; Full time

Benefits offered by this job

Inclusive benefits

Flexibility programmes

Mentorship

Job summary

PwC is seeking a skilled Azure Cloud Data Engineer to join our Noida team. You will design, develop, and optimize scalable data solutions on Azure, build data pipelines, and transform complex data into actionable insights using Python and SQL.

You will work with Azure Databricks, Data Factory, blob storage, and data lake solutions, ensuring robust ETL and analytics support. 6+ years of cloud/data engineering experience is expected, with 2–3 years in Azure.

Qualifications

• Strong Python and SQL skills essential.
• Hands-on with Azure Databricks and Data Factory.
• Experience building scalable ETL pipelines.
• Data warehousing and BI integration experience.
• 6+ years overall with 2–3 years Azure hands-on experience.
• BE/B.Tech or MCA/MBA preferred.

Responsibilities

• Design, develop, and manage scalable, secure data pipelines on Azure.
• Write clean, efficient Python for cloud automation and data processing.
• Architect cloud-based data solutions and integrate diverse data sources.
• Lead ETL workflows and ensure seamless data integration across platforms.
• Contribute to enterprise data warehousing designs and BI integration.

Skills

Python programming

SQL

Git

Agile

Education

BE/B.Tech

MBA

MCA

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Azure Blob Storage

Apache Spark

Kafka

Hadoop

Azure Synapse

Azure DevOps CI/CD

Job description

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 and support your wellbeing.

• inclusive benefits
• flexibility programmes
• mentorship

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, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 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 August 19, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.