GCP Data Engineer

Questhiring; Gurugram District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Questhiring Gurugram invites an experienced GCP Data Engineer to design, develop, and maintain scalable data pipelines on Google Cloud Platform. You will work with BigQuery, Dataflow, and GCS to implement ETL/ELT processes and data warehousing models.

Strong Python/PySpark skills and SQL optimization are essential as you collaborate with analysts and other engineers to ensure data quality and reliable pipelines across the organization.

Qualifications

• 4–6 years of experience in Data Engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in BigQuery, Dataflow, and Cloud Storage (GCS).
• Strong programming skills in Python / PySpark.
• Excellent knowledge of SQL and query optimization.
• Experience in developing and maintaining ETL/ELT data pipelines.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Google Cloud Platform (GCP).
• Work extensively with BigQuery, Dataflow, and Google Cloud Storage (GCS).
• Develop and optimize ETL/ELT workflows for large-scale data processing.
• Write complex SQL queries and perform query optimization.
• Develop data processing solutions using Python / PySpark.
• Implement data integration and transformation solutions.
• Ensure data quality, consistency, and reliability across pipelines.
• Collaborate with business analysts, architects, and other engineering teams.
• Troubleshoot and optimize data pipeline performance.

Skills

Data engineering

ETL/ELT

Data warehousing

SQL

Python

PySpark

Cloud concepts

Tools

BigQuery

Dataflow

Cloud Storage

Pub/Sub

Dataproc

Cloud Composer

Job description

We are looking for an experienced GCP Data Engineer with 4–6 years of hands‑on experience in designing, developing, and maintaining scalable data engineering solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in data pipelines, ETL/ELT processes, data warehousing, and cloud-based data processing.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Google Cloud Platform (GCP).
• Work extensively with BigQuery, Dataflow, and Google Cloud Storage (GCS).
• Develop and optimize ETL/ELT workflows for large-scale data processing.
• Write complex SQL queries and perform query optimization.
• Develop data processing solutions using Python / PySpark.
• Implement data integration and transformation solutions.
• Ensure data quality, consistency, and reliability across pipelines.
• Collaborate with business analysts, architects, and other engineering teams.
• Troubleshoot and optimize data pipeline performance.

Required Technical Skills

• 4–6 years of experience in Data Engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in BigQuery, Dataflow, and Cloud Storage (GCS).
• Strong programming skills in Python / PySpark.
• Excellent knowledge of SQL and query optimization.
• Experience in developing and maintaining ETL/ELT data pipelines.
• Understanding of data warehousing concepts and data modeling.
• Knowledge of GCP services such as Pub/Sub, Cloud Composer, and Dataproc is an added advantage.