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GCP Data Engineer - Data Modelling
Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
GCP Data Engineer - Real-Time & Scalable Pipelines
Designs and builds scalable real-time data pipelines using GCP tools like BigQuery, Dataflow, and Pub/Sub to power analytics and decision-making.
GCP Data Engineer — Build Scalable Data Pipelines
Designs and builds scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, and Terraform to power analytics and digital experiences.
Solution Designer & Lead Data Engineer - GCP
Designs and leads the build of scalable, secure data pipelines on GCP, ingesting batch and streaming data into BigQuery and Cloud Storage.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
GCP Data Engineer (Google)
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Software Engineer - Data & Platform Focus
Build and maintain a full-stack inventory and booking platform, focusing on data pipelines with BigQuery and Looker reporting.
Senior Data Engineer: Property Data & APIs Mentor
Designs and builds property data pipelines and APIs, mentors teammates, and improves data governance using Airflow, BigQuery, TypeScript/Node.js, and Python.
GCP AI Engineer
Design and deploy autonomous AI agents on GCP’s Vertex AI, using Gemini models, RAG, and agentic frameworks to automate enterprise workflows.
Senior Data Engineer
Designs and builds scalable data pipelines and platforms using Databricks, Python/Scala/SQL, and multi-cloud infrastructure to support analytics and reporting for enterprise clients.
Senior Data Engineer: Property Data & APIs | Hybrid
Designs, builds, and operates scalable data pipelines, models, and APIs to power property data solutions for internal and external users using modern cloud stack.
GCP Data Engineer — Streaming ETL & BigQuery Expert
Design and implement scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to build batch and streaming ETL/ELT solutions for real-time analytics in fintech.
Data Engineering Lead
Lead the design and build of scalable data pipelines that transform messy marketing data into clean, model-ready datasets for an AI-powered Marketing Mix Modelling platform.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Position: Senior Data Engineer New
Build and maintain property data pipelines, models, and APIs using BigQuery, Airflow, Kafka, and TypeScript/Python to power REA’s Prime platform and external data solutions.
AI Architect
Design and lead enterprise-scale AI systems using LLMs, RAG, and agentic architectures on Azure/GCP, integrating with Microsoft 365 Copilot and Google Vertex AI.
Data Engineer
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
GCP Data Engineer: Build Scalable Data Pipelines
Design and scale GCP-based data pipelines using BigQuery, Dataflow, and Pub/Sub to transform raw data into actionable insights for analytics and decision-making.
Principal Data Engineer
Lead data architecture and engineering for REA’s property platforms, designing scalable ETL/ELT workflows and cloud data warehouses to power analytics and user experiences.