Data Scientist (GCP)

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines and architectures using Google Cloud Platform (GCP) technologies, including Dataflow, BigQuery, Pub / Sub, and Cloud Storage.
• Build and manage ETL processes to transform raw and diverse data sources into clean, structured, and analytics-ready datasets.
• Collaborate closely with data scientists and analysts to deliver reliable data solutions that drive insights and informed decision-making.
• Document data pipelines, architecture, and data models to ensure transparency, consistency, and ease of maintenance.
• Diagnose and resolve data-related issues promptly to minimize downtime and ensure uninterrupted data flow.
• Continuously optimize pipelines for improved performance, scalability, and cost efficiency across environments.
• Automate repetitive workflows and enhance operations using scripts and modern data engineering tools.
• Ensure data quality, integrity, and security throughout the entire data lifecycle and across multiple platforms.
• Stay current with emerging GCP tools, technologies, and best practices to continuously innovate and enhance data infrastructure

Job Experience and skill required

Apply now!