GCP Data Engineer Needed
Budget: ₹75,000 – ₹150,000 INR
Role : GCP Data Engineer
Experience - 6+Years
Location: Remote
open positions: 50
Shift : 3Pm- 12 AM IST
2nd parallel job possible
Job Summary:
We are seeking a highly skilled and experienced GCP Data Engineer with 7+ years of experience in data engineering and cloud technologies. The ideal candidate will have deep expertise in Google Cloud Platform (GCP), BigQuery, Python, and SQL.
You will play a key role in designing and building scalable data pipelines and data solutions that power analytics and business intelligence.
Key Responsibilities:
Design, develop, and optimize data pipelines using GCP services, especially BigQuery, Cloud Storage, and Dataflow.
Develop and maintain ETL/ELT processes using Python and SQL.
Implement data models and schemas in BigQuery for efficient querying and storage.
Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver robust data solutions.
Monitor and troubleshoot data pipeline performance, quality, and reliability issues.
Ensure best practices in data security, governance, and compliance on GCP.
Automate data workflows and contribute to CI/CD pipeline integration for data solutions.
Budget is 80 K to 1 Lakh INR per month
Experience - 6+Years
Location: Remote
open positions: 50
Shift : 3Pm- 12 AM IST
2nd parallel job possible
Job Summary:
We are seeking a highly skilled and experienced GCP Data Engineer with 7+ years of experience in data engineering and cloud technologies. The ideal candidate will have deep expertise in Google Cloud Platform (GCP), BigQuery, Python, and SQL.
You will play a key role in designing and building scalable data pipelines and data solutions that power analytics and business intelligence.
Key Responsibilities:
Design, develop, and optimize data pipelines using GCP services, especially BigQuery, Cloud Storage, and Dataflow.
Develop and maintain ETL/ELT processes using Python and SQL.
Implement data models and schemas in BigQuery for efficient querying and storage.
Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver robust data solutions.
Monitor and troubleshoot data pipeline performance, quality, and reliability issues.
Ensure best practices in data security, governance, and compliance on GCP.
Automate data workflows and contribute to CI/CD pipeline integration for data solutions.
Budget is 80 K to 1 Lakh INR per month
Related categories:
Python
SQL
Hadoop
QlikView
Google Cloud Platform
ETL
Data Modeling
BigQuery
Big Data
CI/CD