Senior Associate - Data Analytics with Spark Scala

IN_Senior Associate_Spark Scala_Data and Analytics_Advisory_Bangalore

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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*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 with .......

Responsibilities: 

• 
  Design, develop, and optimize large-scale data processing pipelines using Spark (Scala)

• Implemented robust, reusable, and efficient data transformation logic leveraging advanced functional programming techniques.
• Develop and maintain Hive-based data models and ETL processes
• Schedule and manage workflows using Oozie / Airflow
• Implement CI/CD pipelines using GitHub Actions for automated build, test, and deployment
• Build and manage project dependencies using Maven or SBT
• Debug, troubleshoot, and optimize Spark jobs for performance and scalability
• Collaborate with cross-functional teams including Data Analysts, Architects, and Business stakeholders
• Experience with Airflow for workflow orchestration Knowledge of Docker (containerization) Exposure to Kubernetes for deployment and scaling Experience with Kafka / streaming pipelines

• Ensure data quality, reliability, and consistency across pipelines
• Designed and optimized end‑to‑end data‑ingestion workflows across diverse sources, including multiple file formats, RDBMS, and NoSQL systems.

Mandatory skill sets: 

Design, develop, and optimize large-scale data processing pipelines using Spark (Scala), ETL

Preferred skill sets: 

Airflow, Docker, Kafka, Kubernetes

Years of experience required: 

4-8 Yrs

Education qualification: 

B.E, B.Tech, M.E, MCA, M.Tech

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

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

Certifications (if blank, certifications not specified)

Required Skills

Airflow Management, Docker (Software)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

April 15, 2026

Experience Level

Senior Level