SQLI
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 – Scala, Databricks
Job not on LinkedIn
November 6
🗣️🇫🇷 French Required
SQLI
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
• Develop and maintain data ingestion pipelines using Azure Data Factory • Design data transformation pipelines on Azure Databricks • Implement unit tests to ensure the robustness of code and developed solutions • Define and enforce data quality rules • Contribute to the design of CI/CD pipelines via Azure DevOps to automate deployments • Apply software engineering best practices across all development stages • Collaborate closely with Data Product Owners to understand business needs and propose appropriate solutions • Monitor data processing with Datadog • Contribute to the definition and optimization of data architectures
🎯 Requirements
• Master's degree (or equivalent) in Computer Science, Engineering, or a related field • Minimum 3 years' experience in a similar role • Proficiency in one or more languages: Python, PySpark, Scala, SQL • Proven experience developing data pipelines on Databricks • Good knowledge of the Azure environment and its data-oriented cloud services • Familiarity with development best practices: clean code, version control, testing, and BI modeling principles • Experience using the dbt framework for SQL-based data transformations • Experience working in Agile methodologies • Proactive mindset and ability to adapt quickly in a constantly evolving technical environment
🏖️ Benefits
• Dynamic and innovative environment • Large-scale projects using cloud and Big Data technologies • Opportunities for career growth and continuous training • Flexible working arrangements and attractive benefits
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