PwC
Software Engineer - Senior Associate
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Industry/Sector
Not Applicable
Specialism
Platform Engineering & Architecture
Management Level
Senior Associate
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Software Engineer - Senior Associate you will contribute to the design, development, and support of data engineering solutions within our Cloud Engineering, Data & Analytics practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while developing your technical skills and personal brand in a setting that values clear communication, critical thinking, and accountability. In this role at PwC Acceleration Center Bangalore, you will help deliver data modernization efforts through cloud-based engineering, platform development, and practical problem solving across multiple workstreams.
Show full description
Responsibilities
- Developing and maintaining data pipelines, integration workflows, and transformation logic across cloud-based data platforms
- Building scalable data models and warehouse structures that support analytics, reporting, and downstream application use cases
- Using Python, SQL, and platform services such as Databricks, Snowflake, Azure Data Factory, or AWS to implement engineering solutions
- Troubleshooting pipeline failures, performance issues, and data quality defects through root cause analysis and remediation planning
- Translating business and client requirements into technical designs, backlog items, and implementation tasks for assigned workstreams
- Validating data accuracy, lineage, security controls, and access requirements across source systems and target environments
- Reviewing code, technical documentation, and deliverables from junior team members to maintain consistency and technical rigor
- Coordinating with client stakeholders and internal teams to communicate status, surface risks, and adapt delivery plans as priorities change
What You Must Have
- At least a Bachelor's degree
- At least 4-6 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating coursework or project work in data engineering
- Utilizing cloud data platforms such as AWS, Azure, or Snowflake
- Applying data modeling, pipeline, and transformation skills
- Supporting Agile delivery and iterative solution development
- Interpreting data quality and performance tuning considerations
- Collaborating across teams while navigating ambiguity
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- SenioritySenior
- Employer posted
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