IN- Senior Associate_Databricks Engineer _Data Analytics_ Advisory_ Bangalore

PwC South Africa; Bengaluru; On-site; Confidential; Full time

Job summary

PwC South Africa in Bengaluru seeks a Senior Associate to help design and build data pipelines and analytics solutions. You will transform raw data into actionable insights to drive business outcomes.

Role focuses on Databricks, Python, PySpark, and SQL on AWS/Azure, contributing to lakehouse architecture, ETL/ELT pipelines, and data integration across projects.

Qualifications

• 4-8 years of data engineering experience.
• Strong coding in Python, PySpark, and SQL.
• Experience on AWS or Azure cloud platforms.

Responsibilities

• Design and build data pipelines, data integration, and data transformation.
• Work with Databricks Delta Lake and related lakehouse technologies.
• Collaborate on CI/CD, orchestration using Airflow/ADF, and data quality checks.

Skills

Python

PySpark

SQL

AWS

Azure

Databricks

Delta Lake

ETL/ELT

Spark

Education

B.Tech

M.Tech

MBA

MCA

Tools

Databricks

Delta Lake

Unity Catalog

Delta Live Tables

Airflow

ADF

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate 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…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities

• Strong hands‑on experience in Databricks
• Strong coding skills in Python, PySpark, and SQL
• Experience building ETL/ELT pipelines
• Hands‑on experience with Delta Lake
• Experience with Unity Catalog, Delta Live Tables (DLT) , Auto Loader, Databricks Workflows / Lakeflow
• Knowledge of Structured Streaming
• Good understanding of Lakehouse architecture
• Experience on AWS / Azure
• Strong experience in Spark performance tuning / optimization
• Good communication skills

Mandatory skill sets

• Strong coding skills in Python, PySpark, and SQL
• Experience on AWS / Azure

Preferred skill sets

• Experience with Photon
• Exposure to Databricks SQL
• Exposure to MLflow / Databricks ML
• Experience with CI/CD, Git
• Knowledge of Airflow / ADF / other orchestration tools
• Databricks certification is a plus
• Domain experience in healthcare is preferred

Years of experience required

4-8

Education qualification

B.Tech / M.Tech / MBA / MCA

Degrees/Field of Study required

Master of Business Administration, Bachelor of Engineering

Required Skills

• AWS Devops
• Optional Skills
• Accepting Feedback
• Accepting Feedback
• Active Listening
• Agile Scalability
• Amazon Web Services (AWS)
• Analytical Thinking
• Apache Airflow
• Apache Hadoop
• Azure Data Factory
• Communication
• Creativity
• Data Anonymization
• Data Architecture Development
• 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
• Data Pipeline {+ 27 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 April 14, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.