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Data Engineer – Data Platforms (Google Cloud)
Job Location:
Monthly Salary:
Experience Required:
Posted:
30 May 2026 (30+ days ago)
Posted:
Application Deadline:
27 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Hiring: Data Engineer Data Platforms (Google Cloud)
Location: Gurgaon
Work Mode: Work From Office (Day 1 Mandatory)
Interview Mode: Face-to-Face (Mandatory)
We are looking for an experienced Data Engineer Google Cloud Platform (GCP) with strong expertise in building scalable data pipelines and cloud-based data solutions.
Key Responsibilities:
Design build and operationalize batch & real-time data pipelines on GCP
Develop data solutions using Dataflow Dataproc Pub/Sub and BigQuery
Build and optimize data warehouse solutions and data lake architectures
Work with BigQuery BigQuery ML Cloud Storage Cloud SQL Spanner and Bigtable
Perform Spark job optimization debugging and performance tuning
Manage data workflows using Cloud Composer (Airflow) and Cloud Scheduler
Build and support data ingestion pipelines (batch & streaming)
Work with stakeholders to deliver scalable data engineering solutions
Required Skills:
8 years total experience 7 years relevant experience
Strong hands-on experience in GCP (must have)
Expertise in BigQuery BigQuery ML SQL
Experience in Data Engineering Data Warehouse and ETL pipelines
Strong knowledge of Spark PySpark Kafka Hive Big Data fundamentals
Experience with Dataflow Dataproc Pub/Sub Airflow (Composer)
Strong debugging performance tuning and optimization skills
Required Skills:
8 years total experience 7 years relevant experience Strong hands-on experience in GCP (must have) Expertise in BigQuery BigQuery ML SQL Experience in Data Engineering Data Warehouse and ETL pipelines Strong knowledge of Spark PySpark Kafka Hive Big Data fundamentals Experience with Dataflow Dataproc Pub/Sub Airflow (Composer) Strong debugging performance tuning and optimization skills
