مهندس بيانات

Your responsibilities: - Design, develop, and maintain robust and scalable data pipelines. - Integrate and transform data from multiple sources (APIs, databases, files, third-party systems). - Optimize the performance and quality of data flows (monitoring, logging, error handling). - Implement data quality and security management mechanisms. - Participate in the design of the data architecture (storage, ingestion, transformation, delivery). - Implement and administer Cloud/Data Warehouse solutions (Snowflake, Azure Blob Storage, etc.). - Automate data workflows with orchestrators (Airflow, dbt, etc.). - Work closely with Data Scientists and Analysts to prepare data for analysis. - Contribute to the integration of Machine Learning models and advanced analytics into pipelines. - Document and share data engineering best practices within the team. Technical environment: Languages ​​& data processing tools: Python, SQL (DBT), Spark, Bash. Orchestration & ETL: experience with Airflow or similar tools. Databases: proficiency in relational and NoSQL systems. Cloud & Data Warehouse: experience with Snowflake, Azure (Blob Storage), or equivalent. Visualization: proficiency in Power BI is a plus. Proficiency in CI/CD/Git tools. Knowledge of Cloud environments (AWS, Azure, GCP) is an asset. Good understanding of data-oriented architectures (Data Lake, Data Warehouse, Data Mesh).

Desired Candidate Profile

Qualifications: - You hold a Master's degree (or equivalent) in Data Science, Statistics, Computer Science, or a related field. - You have 2 years of experience in data analysis, management, and/or data quality. - You possess excellent analytical and problem-solving skills. - You are autonomous and able to work on complex projects. - You are a team player with strong communication skills.