About the Role
We are seeking a highly motivated and hands-on GCP Data Engineer to support the development and delivery of modern enterprise data and AI platforms on Google Cloud Platform (GCP).
This role will work closely with Lead Data Engineers, Enterprise Architects, analytics teams, and AI/ML teams to build scalable, reliable, and AI-ready data pipelines and cloud-native data solutions that support enterprise analytics, intelligent automation, and digital transformation initiatives.
The ideal candidate should possess strong foundations in cloud data engineering, distributed data processing, and modern data platform development, along with a passion for building high-quality, scalable, and reusable data solutions in a fast-paced enterprise workplace.
This role offers an excellent opportunity to work on large-scale data modernization, semantic data enablement, and next-generation AI data ecosystems.
Key Responsibilities
1. Cloud Data Engineering & Pipeline Development
- Develop and maintain scalable batch and real-time data pipelines on GCP.
- Build ingestion, transformation, and serving pipelines supporting enterprise analytics and AI use cases.
- Assist in modernization of legacy data workflows into cloud-native architectures.
- Develop reusable and maintainable data engineering components following established architectural standards.
- Support implementation of event-driven and streaming-based data processing solutions.
2. Data Product Development
- Contribute to development of reusable and domain-oriented data products.
- Implement data transformation logic and standardized data models supporting downstream analytics and AI consumption.
- Support implementation of:
- Data quality validations
- Schema management
- Metadata enrichment
- Data contracts
- Reusable transformation frameworks
- Ensure data pipelines are reliable, scalable, and production-ready.
3. GCP Platform Development
- Work with GCP-native service
📌 Senior GCP Data Engineer (Mumbai)
🏢 dentsu
📍 Mumbai
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