Posted on: 29/01/2026
Job Summary :
We are looking for an experienced GCP Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong hands-on experience with GCP data services, data ingestion, processing, migration, and reporting using Looker/LookML.
Key Responsibilities :
Data Ingestion, Storage & Processing :
- Acquire, cleanse, and ingest structured and unstructured data into GCP platforms using batch and real-time pipelines.
- Design and manage centralized Data Lakes by integrating data from multiple internal and external sources.
- Build and support data migration pipelines between different systems and cloud services.
- Enable and support secure and reliable data movement across platforms and services.
- Create, maintain, and manage test data to support fully automated testing frameworks.
Reporting & Analytics :
- Design, develop, and maintain high-performance LookML models to enable unified and trusted analytics across business functions.
- Build interactive dashboards and visualizations in Looker that deliver actionable insights and support decision-making.
- Ensure data accuracy, performance optimization, and scalability of reporting solutions.
- Stay updated with the latest Looker features and best practices and actively share knowledge with the team.
Technical Skills & Requirements :
- GCP Technologies
- Strong experience with Google Cloud Platform (GCP) data services, including :
1. BigQuery
2. Dataflow
3. Data Fusion
4. Dataproc
5. Cloud Composer
6. Pub/Sub
7. Google Cloud Storage (GCS)
- Looker & LookML
- Programming & Tools
- Proficiency in Python, Java, and SQL
- Strong understanding of ETL/ELT concepts, data modeling, and pipeline orchestration
- Experience with performance tuning and cost optimization on GCP
Desired Skills (Good to Have) :
- Experience with real-time streaming pipelines
- Exposure to CI/CD for data pipelines
- Knowledge of data governance, security, and compliance in cloud environments
Why Join Us?
- Opportunity to work on large-scale cloud data platforms
- Hands-on exposure to modern GCP analytics and visualization tools
- Collaborative and growth-oriented work environment
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1607435