IN_Manager_Azure Data Manager_OC-Data & Analytics_Advisory_Bhubaneswar

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.

*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: A career within….

Responsibilities:

- Hands on Experience in Azure Data Components like ADF / Databricks / Azure SQL
- Good Programming Logic Sense in SQL
- Good PySpark knowledge for Azure Data Bricks
- Data Lake and Data Warehouse Concept Understanding
- Unit and Integration testing understanding
- Good communication skill to express thoghts and interact with business users
- Understanding of Data Security and Data Compliance
- Agile Model Understanding
- Project Documentation Understanding
- Certification (Good to have)
- Domain Knowledge

Mandatory skill sets:

Databricks/Pyspark, azure data factory azure datalake, ADS

Preferred skill sets:

Databricks/Pyspark, azure data factory azure datalake, ADS

Years of experience required:

7 to 10 years

Education qualification:

Graduate Engineer or Management Graduate

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

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Data Factory, Data Warehouse

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, 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 Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 1, 2026