IN- Senior Associate_Databricks Engineer _Data Analytics_ Advisory_ Bangalore
PwC Bengaluru, Karnataka, India
Professional Services · 10,001+ employees
About the role
You will be responsible for designing and building robust data infrastructure, including the development and implementation of data pipelines and integration solutions. Additionally, you will transform raw data into actionable insights to support informed decision-making and business growth for clients.
What they look for
Requirements
Candidates must have 4-8 years of experience with strong hands-on skills in Databricks, Python, PySpark, and SQL. A bachelor's or master's degree in a relevant field such as engineering or business administration is required.
Benefits
Full 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
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
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
