IN-Manager_ Scala Developer_Data and Analytics_Advisory_ Bangalore
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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:
We are seeking a skilled Scala Developer with hands-on experience working on Hadoop clusters, deploying applications on Kubernetes, and familiarity with various cloud platforms. The ideal candidate will be responsible for developing, deploying, and maintaining scalable applications and data processing workflows in a distributed environment.
Responsibilities:
Develop and maintain scalable applications using Scala.
Work with Hadoop clusters to process large datasets efficiently.
Deploy and manage Scala-based applications on Kubernetes clusters.
Collaborate with cross-functional teams to design and implement cloud-native solutions.
Optimize applications for performance, scalability, and reliability on cloud infrastructure.
Troubleshoot issues related to distributed computing environments and cloud deployments.
Ensure code quality through thorough testing and adherence to best practices.
Participate in code reviews, design discussions, and Agile development processes.
Mandatory skill sets:
Proven experience as a Scala developer.
Strong knowledge of working on Hadoop ecosystem and cluster management.
Hands-on experience deploying applications on Kubernetes clusters.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of distributed systems and big data technologies.
Experience with containerization and orchestration tools.
Proficiency in writing clean, maintainable, and well-documented code.
Good problem-solving skills and ability to work in a fast-paced environment.
Preferred skill sets:
Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience with related technologies like Spark, Kafka, or Flink.
Knowledge of CI/CD pipelines and automation tools.
Understanding of Agile methodologies.
Years of experience required:
8 to 12 years
Education qualification:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data EngineeringOptional 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 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 {+ 32 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
May 21, 2026
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