We are looking for an experienced  Data Engineer to join our team full\-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI\-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud\-based data integration using Microsoft Azure. Key Responsibilities: * Design, develop, and maintain scalable data pipelines and ETL processes to support AI\-driven projects * Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure) * Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions * Ensure data pipelines are secure, reliable, and meet performance standards * Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery * Implement data governance policies and ensure compliance with data security standards Required Qualifications: * Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects * Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB) * Expertise in cloud\-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks) * Experience with data integration tools and ETL frameworks (e.g., Apache Airflow) * Proficiency in at least one programming language for data manipulation (e.g., Python) * Knowledge of data warehousing solutions and best practices * Experience in working with data pipelines for AI or machine learning workflows * Strong problem\-solving and analytical skills * Bachelor’s degree in Computer Science, Engineering, or a related field * Proficiency in English (written and spoken) Desirable Qualifications: * Familiarity with machine learning models and data preprocessing for AI solutions * Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments Job Type: Full\-time