IN_Manager_Azure Data Engineer_OC-Data & Analytics_Advisory_Bhubaneswar

PwC

Khordha

On-site

INR 2,600,000 - 5,200,000

Full time

14 days+

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Job summary

PwC is seeking a Senior Manager – Data Science & AI to lead advanced analytics and AI/ML initiatives, including Generative AI. You will manage data science teams, drive model development, and operationalize AI solutions delivering measurable business value.

The role requires 8–15 years of experience, with a focus on Azure data technologies and scalable data architectures. Join a dynamic team and contribute to client-impacting data solutions.

Qualifications

8 to 15 years of data engineering experience.
Strong expertise in Azure data stack (ADF, ADB, Fabric).
Experience with PySpark, Spark SQL, and Delta Lake.
Knowledge of data governance and security in cloud.

Responsibilities

Design and implement end-to-end data pipelines using ADF, ADB, and Microsoft Fabric.
Develop scalable ETL/ELT processes with PySpark and Databricks.
Integrate data from on-premises and cloud systems.
Optimize data workflows for performance and reliability.
Collaborate with data architects, analysts, and stakeholders.
Implement data governance, security, and compliance.
Work in Agile/Scrum with sprint planning.

Skills

ADF

ADB

Microsoft Fabric

PySpark

SQL

Python

Data Modeling

Delta Lake

Lakehouse

Data Lakes

Education

Bachelor of Engineering

MBA

Tools

Azure Data Factory

Azure Databricks

Microsoft Fabric

Delta Lake

Azure Synapse Pipelines

Azure Stream Analytics

CI/CD in Azure

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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.

WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more about us

AtPwC, 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 seeking a highly skilled and visionary Senior Manager – Data Science & AI to lead our advanced analytics and AI/ML initiatives, including next-generation technologies like Generative AI and Agentic AI. The ideal candidate will be responsible for managing data science teams, driving innovation in machine learning model development, and operationalizing AI solutions that deliver measurable business value.

A career within….

Responsibilities

Design and implement end-to-end data pipelines using ADF , ADB , and Microsoft Fabric.

Develop scalable ETL/ELT processes using PySpark and Databricks Notebooks.

Integrate data from various sources including on-premise and cloud-based systems.

Optimize data workflows for performance, scalability, and reliability.

Collaborate with data architects, analysts, and business stakeholders to understand data requirements.

Monitor, troubleshoot, and enhance existing data pipelines and workflows.

Implement data governance, security, and compliance best practices.

Work in Agile/Scrum environments and participate in sprint planning and reviews.

Mandatory skill sets