PwC
Data Engineers - Databricks - 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 Data Engineers - Databricks - Senior Associate you will design and build data infrastructure, pipelines, integration, and transformation solutions that help turn raw data into actionable insights within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, support assigned workstreams, and develop deliverables while building meaningful client connections, anticipating team and client needs, and guiding junior team members as you grow your technical skills and professional brand. In this role at PwC, you will use Databricks and other engineering tools and methods to shape data solutions that support decision-making and business growth, while navigating changing priorities and contributing to client service engagements.
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Responsibilities
- Designing and developing Databricks-based data pipelines, transformations, and integration workflows for client data environments
- Building and maintaining data infrastructure that supports reliable processing, storage, and access across analytics solutions
- Applying data engineering methods to model, cleanse, validate, and organize structured and semi-structured data
- Analyzing complex data challenges and translating business needs into technical design choices
- Using Apache Airflow, Azure Data Factory, and cloud data platforms to schedule, automate, and monitor pipeline execution
- Tuning performance across data processing jobs, query logic, and warehouse workloads to improve execution efficiency
- Supporting data architecture decisions across lake, warehouse, and platform design patterns
- Interpreting data requirements and technical feedback to refine solution design and delivery workstreams
- Collaborating with client teams and internal stakeholders to align data solutions with broader project objectives
- Guiding junior team members on data engineering tasks, technical methods, and delivery activities
What You Must Have
- At least a Bachelor's degree
- At least 4 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 Databricks data engineering experience in client service workstreams
- Utilizing Apache Airflow, Azure Data Factory, or equivalent orchestration tools
- Applying data modeling, transformation, and validation in modern pipelines
- Interpreting data insights and recommendations for stakeholders
- Navigating ambiguity while mentoring junior team members
- Collaborating across teams to anticipate client and project needs
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- SenioritySenior
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.