IN Manager Databricks-- Data and Analytics Advisory PAN India

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 PWC  

We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark, and SQL, to join our data team. You’ll play a key role in building secure, scalable data pipelines and implementing robust data governance strategies using Unity Catalog. 

Key Responsibilities: 

Design and implement ETL/ELT pipelines using Databricks and PySpark. 

Work with Unity Catalog to manage data governance, access controls, lineage, and auditing across data assets. 

Develop high-performance SQL queries and optimize Spark jobs. 

Collaborate with data scientists, analysts, and business stakeholders to understand data needs. 

Ensure data quality and compliance across all stages of the data lifecycle. 

Implement best practices for data security and lineage within the Databricks ecosystem. 

Participate in CI/CD, version control, and testing practices for data pipelines. 

Required Skills: 

Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). 

Strong hands-on skills with PySpark and Spark SQL. 

Solid experience writing and optimizing complex SQL queries. 

Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. 

Experience with cloud platforms like Azure or AWS. 

Understanding of data governance, RBAC, and data security standards. 

Preferred Qualifications: 

Databricks Certified Data Engineer Associate or Professional. 

Experience with tools like Airflow, Git, Azure Data Factory, or dbt. 

Exposure to streaming data and real-time processing. 

Knowledge of DevOps practices for data engineering. 

Mandatory skill sets:  

  

Databricks  

Preferred skill sets:  

  

Databricks 

Years of experience required:  

  

7-12 years  

Education qualification:  

  

BE/BTECH, ME/MTECH, MBA, MCA  

  

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

Degrees/Field of Study required: Master Degree - Computer Applications, Master of Business Administration, Bachelor of Engineering, Master of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Databricks Platform

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 {+ 32 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