Data Scientist with strong expertise in GCP (Google Cloud Platform) who will be responsible for designing building and maintaining scalable data pipelines and architectures that powers the business
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
Bachelors or Masers degree in Computes Science Data Science or a related filed5 years experience as a Data EngineerStrong programming skills in BigQuery Python SQL GCP ETL Development and data modeling.Apply now!
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For more information contact :
Monica de Wet
Senior Recruitment Consultant
Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full-Time
Experience : years
Vacancy : 1