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Bengaluru · On-site · 4-7 Yrs · 5 days ago
27 open roles7 posted in 7d27 in 30d
Hiring: Engineering
Job description
Overview
Line of Service Advisory
Responsibilities
- Design and implement high-quality scalable and robust technical solutions across all layers of application development, including APIs, application logic, performance, reliability, persistence, tests, CI/CD, and IaC.
- Mentor less experienced team members, led by example, and produce high quality code, while adhering to development best practices.
- Participating in our agile ceremonies and actively driving towards the team’s goals.
- Analyze user requirements, envision system features and functionality.
- Working collaboratively with a global team of technologists and business users.
- Participate in all aspects of SDLC (analysis, design, coding, testing, implementation, and deployment)
- Leading with ideas and innovation.
- Managing communication and partnering with our end users to design solutions.
Qualifications
- At least 4 years' relevant experience (4-8 years of total experience) with skills using Core Java, Java Restful APIs, Gradle/Maven, Spring, Spring Boot, and related frameworks.
- Solid understanding and experience with Object-Oriented design and development
- Solid understanding and experience with Microservices architecture and design
- Experience in building server-side applications using J2EE Technologies.
- Excellent problem-solving skills
- Experience in building Cloud or Cloud ready applications.
- Experience with building highly scalable, secure, and fault tolerant microservices.
- Proficient with database technologies with complex SQL queries (preferably PostgreSQL / MS SQL Server / DB2), including modelling and performance tuning.
- Highly proficient working in Linux environments.
- Experience building solutions in Python / Perl and Unix shell such as Bash.
- Experience with DevOps
- Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins.
- Practiced understanding of Agile development methodologies & understanding of DevOps Integration
- Strong familiarity with Agile software/tools (e.g., JIRA, etc.).
- Excellent problem-solving skills
- Experience in building Cloud or Cloud ready applications.
- Experience with building highly scalable, secure, and fault tolerant microservices.
- Core Java
- Sql
- python/shell scripting
- CICD.
- React
- Angular
- KUBERNETS
- Java (Programming Language)
- Optional Skills
- Desired Languages (If blank, desired languages not specified)
- Travel Requirements
- Not Specified
- Available for Work Visa Sponsorship?
Education
- B.Tech / M.Tech / MCA/MBA
- Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)
- Degrees/Field of Study preferred:
- Certifications (if blank, certifications not specified)
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Job application FAQ
Last updated 24 October 2026
- How do I apply for IN_Senior Associate_ Java + Scala Data Engineer _GCC_Advisory _Bangalore at PwC India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PwC India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this IN_Senior Associate_ Java + Scala Data Engineer _GCC_Advisory _Bangalore role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is IN_Senior Associate_ Java + Scala Data Engineer _GCC_Advisory _Bangalore remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this IN_Senior Associate_ Java + Scala Data Engineer _GCC_Advisory _Bangalore role at PwC India?
- This is a mid-level IN_Senior Associate_ Java + Scala Data Engineer _GCC_Advisory _Bangalore role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.