GCP Data Engineer - Senior Associate
PwC (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 14–22 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data pipelines and cloud-native data platforms on Google Cloud Platform (GCP).
- Implement and operate end-to-end data pipeline workflows using tools like BigQuery, Dataflow, Apache Airflow (Cloud Composer), and dbt.
- Drive best practices in data modeling, CI/CD, DataOps, security, and mentor junior engineers within delivery teams.
Minimum Requirements
- 5 years of hands-on experience designing and operating data platforms and pipelines.
- 3+ years of experience with Google Cloud Platform services including BigQuery, Dataflow, and Cloud Storage.
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- Proficiency in Python and advanced SQL skills; experience with Apache Airflow, dbt, and CI/CD pipelines.
Ideal Candidate Profile
- Experienced in architecting scalable ELT/ETL data workflows within large cloud environments, especially GCP.
- Capable of translating complex business requirements into technical implementations with a focus on performance and maintainability.
- Able to lead technical efforts, mentor junior staff, and communicate effectively in agile, client-facing teams.