.**RH**:Raul García**Position**:Fullstack Azure Data Engineer**Location**:Aguascalientes, Mexico**Industry - Sector**:MALS**What you'll do?**- Build, optimize, and maintain scalable data pipelines to process large datasets from various sources using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.- Implement ETL (Extract, Transform, Load) processes to integrate and transform data for analytical and operational purposes.- Design and implement cloud-based data architectures using Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage, and Azure Synapse Analytics.- Build and manage data lakes, data warehouses, and data marts to enable seamless data flow and storage.- Develop and maintain backend systems that handle data processing, storage, and retrieval with technologies such as Python, Spark, SQL, and Azure Data Factory.- Ensure data consistency, quality, and reliability across multiple systems and services.- Create user-friendly data interfaces and reports for business users, ensuring that data insights are accessible and actionable.- Work with both relational and non-relational databases on Azure, including Azure SQL Database, Cosmos DB, and Azure Data Warehouse.- Optimize and tune databases for performance, including query optimization, indexing, and partitioning.- Automate data workflows and deployment pipelines using Azure DevOps, Terraform, or similar infrastructure-as-code tools.- Implement CI/CD (Continuous Integration/Continuous Deployment) processes for data systems and analytics solutions.- Implement best practices for data security, including encryption, role-based access control (RBAC), and data masking.- Ensure compliance with data governance policies and standards, ensuring the data is clean, accurate, and available.- Work closely with data scientists, analysts, and business stakeholders to understand data needs and provide solutions.- Provide technical leadership and mentorship to junior team members, helping them grow their skills in cloud data engineering.- Monitor and optimize the performance of data systems, ensuring high availability and scalability.- Troubleshoot and resolve issues related to data integration, transformation, and reporting.**What you'll bring**:- In-depth experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Blob Storage, Azure Data Lake, and Azure Data Warehouse.- Proficiency in Python or Scala for data engineering and automation tasks.- Strong SQL skills for data querying, data transformation, and performance tuning.- Experience building ETL pipelines using Azure Data Factory, Azure Databricks, or SQL Server Integration Services (SSIS).- Knowledge of batch and streaming data processing techniques using tools like Apache Spark, Azure Stream Analytics, or Apache Kafka.- Strong understanding of data warehousing and data lake architectures, and experience implementing these solutions on Azure Synapse or Azure Data Lake