SQLI
1001 - 5000 employees
Founded 1990
🛍️ eCommerce
☁️ SaaS
eCommerce • Digital Consulting • SaaS
SQLI is a European digital services company that specializes in defining, building, and enhancing the digital business value for international A-brands. Founded in the 1990s, SQLI leverages technology, creativity, and methodologies to create meaningful and engaging digital experiences. The company focuses on designing, developing, and deploying robust architectures to enhance business agility, increase efficiencies, and support business growth. With a wide range of services including e-Commerce, experience platforms, technology and transformation, data insights, digital marketing and consulting, SQLI is committed to taking businesses to the next level of digital engagement.
Data Engineer, GCP – Google Cloud Platform
🕒 January 8
🗣️🇫🇷 French Required
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SQLI
1001 - 5000 employees
Founded 1990
🛍️ eCommerce
☁️ SaaS
eCommerce • Digital Consulting • SaaS
SQLI is a European digital services company that specializes in defining, building, and enhancing the digital business value for international A-brands. Founded in the 1990s, SQLI leverages technology, creativity, and methodologies to create meaningful and engaging digital experiences. The company focuses on designing, developing, and deploying robust architectures to enhance business agility, increase efficiencies, and support business growth. With a wide range of services including e-Commerce, experience platforms, technology and transformation, data insights, digital marketing and consulting, SQLI is committed to taking businesses to the next level of digital engagement.
📋 Description
• Design, deploy and maintain robust data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.). • Implement and automate data ingestion, processing and transformation pipelines using GCP tools and related technologies. • Ensure the performance, scalability and security of data infrastructures on GCP. • Work closely with internal teams to understand business requirements and deliver appropriate data solutions. • Provide technical support to development and data science teams. • Keep up to date with the latest trends and innovations on Google Cloud, particularly in data management and machine learning. • Implement processes to ensure data quality, integrity and security within the GCP infrastructure. • Use tools such as Terraform and Cloud Deployment Manager to automate GCP infrastructure management.
🎯 Requirements
• Strong knowledge of GCP technologies such as BigQuery, Dataflow, Cloud Storage, Cloud Functions, etc. • Proven proficiency in Python for developing data pipelines, data analysis and data manipulation. • Experience with data visualization tools such as Looker for building dashboards and reports. • Strong understanding of SQL concepts and their practical implementation. • Ability to work with large volumes of data and optimize query performance. • Understanding of distributed data architectures and real-time data processing concepts. • Excellent written and verbal communication: ability to produce high-quality deliverables and reports. • Analytical mindset and continuous improvement orientation: ability to assess code and its impacts and to challenge existing solutions to improve them. • Ability to take a step back: capacity to evaluate issues objectively and propose improvement solutions. • Team player: ability to collaborate effectively with team members to achieve common goals. • Familiarity with Agile concepts (Scrum, Sprint Planning, Backlog, etc.). • Strong attention to detail and rigor in the design and implementation of data solutions.
🏖️ Benefits
• Healthcare • Work equipment provided • Reimbursement of commuting expenses • Remote work
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