IN_Manager 2_Azure Data Engineer_OC-Data And Analytics_Advisory_Bhubaneswar

Price Waterhouse Cooper LLP; Khordha; Hybrid; INR 3,500,000 - 5,000,000; Full time

Job summary

PwC is seeking a Senior Manager – Data Science & AI to lead advanced analytics and AI/ML initiatives, including Generative AI and Agentic AI. Responsible for managing data science teams, driving ML model development, and operationalizing AI solutions with measurable business value.

You will oversee data pipelines, governance, and collaboration with stakeholders, delivering scalable, robust data solutions within an Advisory/Data and AI focus area.

Qualifications

• Strong background in building data pipelines and data engineering solutions.
• Experience translating business requirements into scalable data architectures.
• Comfortable operating in Agile/Scrum environments and collaborating with multi-disciplinary teams.

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 on-premise and cloud sources and optimize workflows.

Skills

End-to-end pipelines

ETL/ELT design

Tools

Azure Data Factory (ADF)

Azure Databricks (ADB)

Job description

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.

Job Description & Summary: A career within....

Responsibilities:

• Design and implement end-to-end data pipelines using ADF, ADB, and Microsoft Fabric.
• Develop scalable ETL/ELT processes using PySparkandDatabricks 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:

• Azure Data Factory (ADF)
• Azure Databricks (ADB)