AI Led Data Engineer(AWS Redshift+Glue+Pyspark) - Associate 2
PwC (company site, opens in a new tab)3+ yrsBengaluru, GurugramOn-siteDirect career pageEst. 10–18 LPA
Posted 16h ago
Reach people at PwC
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at PwC you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and build data pipelines and transformation logic using AWS Redshift, Glue, and PySpark.
- Develop reusable ETL components and maintain data integration workflows for cloud-based data modernization.
- Support data quality validation and collaborate with technical/client teams to translate business needs into data engineering tasks.
Minimum Requirements
- Bachelor's degree required.
- Minimum 3 years of relevant experience.
- Proficiency in English (oral and written).
- Experience with AWS Redshift, Glue, and PySpark explicitly required.
Ideal Candidate Profile
- Background or coursework in fields like MIS, Computer/Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics.
- Demonstrated exposure to data engineering through coursework or internships.
- Ability to work in fast-paced project settings with problem-solving and critical thinking applied to technical tasks.