- Design, develop and implement data ingestion pipelines to collect, process, and store large and complex datasets using GCP technologies.

- Design and implement data platforms using GCP services such as Cloud Storage, BigQuery, and Dataflow.

- Develop data pipelines to ingest, transform, and load data from various sources into GCP.

- Optimize data processing performance and efficiency using GCP tools and technologies.

- Collaborate with data scientists and analysts to design and implement data models and algorithms for analysis and machine learning.

- Ensure the security, availability, and reliability of Cloud Data Platform systems.

Required Qualifications :

- Bachelor's Engineering Degree in Computer Science, Information Systems, or relevant discipline.

- 8 to 15 years of relevant technology experience.

- Deep experience in GCP cloud data development.

- Experience with GCP Cloud Data technologies such as Cloud Storage, BigQuery, Dataflow, GCP tools, Spark, and Kafka.

- Proficiency in programming languages such as Scala, Java or Python

- Experience with distributed computing and database systems.

- Experience with troubleshooting data issues and identifying root causes of performance bottlenecks.

- Aligned with the latest trends and technologies in data engineering and GCP.

- Strong problem-solving and analytical skills.

- Excellent verbal & written communication and collaboration skills.

- Customer-focused, react well to changes, work with teams and be able to multitask on multiple products and projects.