Lead Data Engineer (GCP) | 10–12 Years | Remote | Contract Role
Budget: ₹145,000 – ₹155,000 INR
Onboarding Requirement: A one-day physical visit to the Noida office is required for onboarding and laptop collection.
Job Description:
We are looking for an experienced Lead Data Engineer with strong expertise in Google Cloud Platform (GCP) to join our team on a contract basis. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and architectures.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines on GCP
Lead end-to-end data engineering solutions including data ingestion, transformation, and storage
Work with large datasets and optimize data processing workflows
Collaborate with cross-functional teams including analytics, product, and engineering
Ensure data quality, reliability, and performance across systems
Implement best practices for data governance and security
Mentor junior team members and provide technical guidance
Required Skills & Experience:
10–12 years of experience in Data Engineering
Strong hands-on experience with Google Cloud Platform (GCP) services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.)
Proficiency in Python / SQL
Experience with ETL/ELT pipelines and data warehousing concepts
Familiarity with Apache Beam / Spark is a plus
Strong understanding of data modeling and architecture
Excellent problem-solving and communication skills
Job Description:
We are looking for an experienced Lead Data Engineer with strong expertise in Google Cloud Platform (GCP) to join our team on a contract basis. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and architectures.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines on GCP
Lead end-to-end data engineering solutions including data ingestion, transformation, and storage
Work with large datasets and optimize data processing workflows
Collaborate with cross-functional teams including analytics, product, and engineering
Ensure data quality, reliability, and performance across systems
Implement best practices for data governance and security
Mentor junior team members and provide technical guidance
Required Skills & Experience:
10–12 years of experience in Data Engineering
Strong hands-on experience with Google Cloud Platform (GCP) services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.)
Proficiency in Python / SQL
Experience with ETL/ELT pipelines and data warehousing concepts
Familiarity with Apache Beam / Spark is a plus
Strong understanding of data modeling and architecture
Excellent problem-solving and communication skills
Related categories:
Python
SQL
Data Warehousing
Google Cloud Platform
Data Governance
ETL
Cloud Security
Data Modeling
BigQuery
Apache Spark