IN_Senior Associate_Azure Fabric Engineer_GCC_Advisory_Bangalore

Price Waterhouse Cooper LLP; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC in Bengaluru seeks a Senior Data Engineer to design and build robust data pipelines and transformation solutions that turn raw data into actionable insights for client projects. You will work within the Advisory line of service on data and analytics engineering programs.

The role requires hands-on experience with Azure Databricks, PySpark, Data Factory, and SQL, plus collaboration with DevOps and analytics teams to deliver scalable data platforms.

Qualifications

• 4–8 years total experience with data engineering roles.
• DP-203 Azure Data Engineer Associate certification and Databricks Data Engineer Professional.
• Strong troubleshooting and debugging skills.
• Experience with source control tools such as GitHub and Azure DevOps.
• Experience writing complex PySpark queries for data analysis.

Responsibilities

• Design and build data pipelines, data integration, and data transformation solutions.
• Develop and implement data infrastructure to enable efficient processing and analytics.
• Collaborate with data engineering and analytics teams to deliver robust platforms.
• Troubleshoot issues and optimize data workflows for reliability.
• Maintain and improve data quality, lineage, and governance.

Skills

Azure Databricks

Pyspark

Datafactory

Azure Fabric

Education

B.Tech / M.Tech / M.E / MCA/ B.E

Tools

GitHub

Azure DevOps

Job description

Job 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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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 one another. 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.

Responsibilities

• Candidates with minimum3years of relevant experience for4 - 8years of total experience.
• Deep expertise with technologies such as Datafactory , Data Bricks (Advanced), Azure Fabric,SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory),Pysparkscripting, Azure Analysis Services.
• Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level)
• Strong troubleshooting and debugging skills.
• Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines.
• Experience in writing complexPySparkqueries to perform data analysis.

Mandatory skill sets

• Azure Databricks , Pyspark , Datafactory , Azure Fabric

Preferred skill sets

• Azure Databricks , Pyspark , Datafactory , Python, Azure Devops

Years of experience required : 4 -8yrs

Education qualification : B.Tech / M.Tech / M.E / MCA/ B.E

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Education

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

Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering

(if blank, certifications not specified)

Required Skills

Azure Service Fabric, Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Integration, Data Lake {+ 30 more}

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

August 26, 2026