Posted 03 July, 2026
GCP Data Engineer
NR Consulting - India
Hyderabad, Telangana, IN
Full Time
Reference: 26-05731-2220-1
Title: GCP Data Engineer
Location: Hyderabad
Exp: 6+ Years
Job Description:
Key Responsibilities:
• Develop and maintain ETL/ELT pipelines using Python and GCP services.
• Design and optimize data workflows using BigQuery, Dataflow, Cloud Storage, and Pub/Sub.
• Build scalable data processing solutions for structured and unstructured data.
• Implement data quality, monitoring, and performance optimization practices.
• Collaborate with data analysts, data scientists, and business stakeholders.
Required Skills:
• 3+ years of experience in Data Engineering.
• Strong proficiency in Python and SQL.
• Hands-on experience with GCP services, especially Google Cloud Platform, BigQuery, Dataflow, and Pub/Sub.
• Experience with ETL/ELT development and data modeling.
• Familiarity with orchestration tools such as Apache Airflow.
• Knowledge of data warehousing, batch, and streaming architectures.
Preferred:
• Experience with CI/CD, Docker, and Terraform.
• Understanding of Spark and modern data lake architectures.
Location: Hyderabad
Exp: 6+ Years
Job Description:
Key Responsibilities:
• Develop and maintain ETL/ELT pipelines using Python and GCP services.
• Design and optimize data workflows using BigQuery, Dataflow, Cloud Storage, and Pub/Sub.
• Build scalable data processing solutions for structured and unstructured data.
• Implement data quality, monitoring, and performance optimization practices.
• Collaborate with data analysts, data scientists, and business stakeholders.
Required Skills:
• 3+ years of experience in Data Engineering.
• Strong proficiency in Python and SQL.
• Hands-on experience with GCP services, especially Google Cloud Platform, BigQuery, Dataflow, and Pub/Sub.
• Experience with ETL/ELT development and data modeling.
• Familiarity with orchestration tools such as Apache Airflow.
• Knowledge of data warehousing, batch, and streaming architectures.
Preferred:
• Experience with CI/CD, Docker, and Terraform.
• Understanding of Spark and modern data lake architectures.
