Job Description & How to Apply Below
We are seeking a skilled GCP Data Engineer with 5+ years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in Big Query, GCS, Pub/Sub, Cloud Composer (Airflow), DBT, data quality frameworks, and monitoring solutions.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines on GCP.
Build and optimize data ingestion frameworks using Pub/Sub , GCS , and other GCP services.
Develop and manage workflows using Cloud Composer (Apache Airflow) .
Create and optimize data models and transformations using DBT .
Implement robust data quality checks, validation rules, and data quality scans.
Design and maintain enterprise-scale data warehouses in Big Query .
Monitor production pipelines and implement proactive monitoring and alerting mechanisms.
Troubleshoot and resolve data pipeline, performance, and quality issues.
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
Ensure adherence to security, governance, and best practices across data platforms.
Optimize query performance and cloud infrastructure costs.
Mandatory Skills
Google Cloud Platform (GCP)
Google Cloud Storage (GCS)
Big Query
Pub/Sub
Cloud Composer (Apache Airflow)
Monitoring & Alerting
Data Engineering
ETL/ELT Development
Data Pipeline Design and Development
Data Warehousing Concepts
Advanced SQL
Data Quality & Governance
Data Quality Scans
Data Validation Frameworks
Data Monitoring and Observability
Data Transformation
DBT (Data Build Tool)
Data Modeling
Performance Optimization
Programming
Python
SQL
Required Experience
5+ years of experience in Data Engineering.
Minimum 3+ years of hands-on experience in GCP Data Engineering solutions.
Strong experience with Big Query, GCS, Pub/Sub, Cloud Composer (Airflow), and DBT.
Experience in implementing monitoring, alerting, and data quality frameworks.
Hands-on experience in designing and supporting production-grade data pipelines.
Preferred Skills
Dataflow
Terraform
CI/CD Pipelines
Git Hub/Git Lab
Spark/Py Spark
Kubernetes
Educational Qualification
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
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