Senior GCP Data Engineer

Job Title: GCP Data Engineer

Experience: 5 to 9 Years

Budget: 15 to 20 LPA

Location: Gurgaon (Hybrid)

Relocation works as the interviews will be virtual

Skills: GCP, BigQuery, Dataproc, Dataflow, Python, SQL

Role Overview

We are looking for an experienced GCP Data Engineer with strong hands-on expertise in building, managing, and optimizing large-scale data pipelines on Google Cloud Platform. The ideal candidate should have solid experience with BigQuery, Dataproc, Dataflow, and end-to-end data engineering workflows.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on GCP using BigQuery, Dataproc, Dataflow, Pub/Sub, and Cloud Storage.
• Build and optimize data ingestion, ETL/ELT processes, and distributed data processing workflows.
• Work with large datasets to ensure high performance, reliability, and data quality within data platforms.
• Implement data transformation logic using Python, SQL, PySpark or similar technologies.
• Optimize BigQuery queries, partitioning, clustering, and cost management.
• Collaborate with analytics, BI, and application teams to deliver data solutions aligned with business needs.
• Ensure security, governance, and compliance across the GCP data ecosystem.

Required Skills & Experience

• 5–10 years of total experience with minimum 3+ years in GCP data engineering.
• Strong hands-on experience in BigQuery, Dataproc, Dataflow, Cloud Composer/Airflow.
• Strong SQL and Python skills; experience in Spark or PySpark preferred.
• Good understanding of data warehousing concepts, ETL/ELT architectures, and distributed data processing.
• Experience with CI/CD pipelines, Git, and DevOps practices in cloud environments.
• Knowledge of Pub/Sub, Cloud Storage, Cloud Functions will be an added advantage.