Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

fiveSevenBENGALURUofficeDirect Career PageEst. 12–22 LPA

Posted 1d ago

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level GCP Data Engineer in Bangalore at a known consulting firm creates high applicant competition.

Background Fit Sensitivity

(Moderate)

Core data engineering skills are transferable, though GCP/BigQuery specificity slightly reduces cross-industry fit.

Shortlisting Strictness

(High)

Explicit 5+ years plus mandatory GCP, BigQuery, PySpark and Python skills raise shortlisting strictness to high.

Structured overview of role & requirements

Design and develop scalable data pipelines and large-scale data transformations using GCP technologies including BigQuery and PySpark.

Build and manage data ingestion pipelines from various source systems ensuring data quality, reliability, and performance.

Develop and manage workflow orchestration and scheduling for data processes.

5+ years of work experience in data engineering or related roles.

Hands-on experience with GCP-based data platforms, including BigQuery.

Proficiency in Python, PySpark, and strong SQL skills for data engineering tasks.

Work Mode: Hybrid at Capco office in Bangalore.

Experienced in end-to-end design and implementation of cloud-native data pipelines, especially on Google Cloud Platform.

Strong technical background with ability to optimize large-scale data transformations and ensure pipeline performance.

Comfortable working in a hybrid model within a consulting environment serving financial services clients.