Senior BI Data Engineer

Description

Job Summary: We are seeking a Senior BI Data Engineer to analyze large volumes of data, design information architectures, and develop Business Intelligence solutions, ensuring data availability and quality. Key Highlights: 1. Design, develop, and optimize BI solutions and data pipelines. 2. Implement scalable data architectures and manage databases. 3. Collaborate with development, analytics, infrastructure, and business teams. **Position: Senior BI Data Engineer** **Location:** Coyoacán, CDMX **Work Mode:** Hybrid **Schedule:** Monday to Friday, 9:00 AM to 6:00 PM **Employment Type:** Direct hire with the company **Compensation:** $25,000 net + mixed compensation scheme **Benefits:** * Continuous performance evaluations * Access to performance-based bonuses * Professional growth opportunities * Statutory benefits guaranteed **Job Description** We are looking for a **Senior BI Data Engineer** with solid experience in analyzing large volumes of data, designing information architectures, and developing Business Intelligence solutions. This role is critical to ensuring data availability, quality, and strategic utilization within the organization. **Key Responsibilities** * Design, develop, and optimize BI solutions, data pipelines, and ETL/ELT processes. * Analyze large volumes of information to generate models, insights, and efficient structures. * Implement scalable data architectures (e.g., Data Lakes, Data Pipelines, distributed architectures). * Administer and optimize relational and NoSQL databases. * Integrate data processing, orchestration, and visualization tools. * Collaborate with development, analytics, infrastructure, and business teams. * Ensure best practices for data quality, security, and governance. * Document processes, models, and information flows. **Requirements** * **5 years of experience** in analyzing large volumes of data and developing BI solutions. * **Academic background** in one of the following fields: Computer Systems and Informatics, Computer Science Engineering, Data Engineering or Data Science, Software Engineering, Mathematics, Statistics, or Physics (with additional IT training) * **Proven knowledge in at least two of the following areas:** * Cloud computing: AWS, Azure, Databricks, Docker/Kubernetes, ARO * Big Data: Hadoop, Spark, Cloudera, CCA * Relational databases: MySQL, PostgreSQL, SQL Server * NoSQL databases: MongoDB, Cassandra, Redis, HBase * Programming languages: Python, SQL, Scala, Rust, Java, R * Data processing: Databricks, Data Factory, DataStage, Kafka * Big Data tools: Apache, Dask, Flink * ETL/ELT design and development * Data models and architectures * Visualization: Fabric, Tableau, Grafana * Automation and DevOps (CI/CD) * Strong analytical ability, structured thinking, and focus on solving complex problems. Employment Type: Indefinite-term contract Salary: Up to $25,000.00 per month Work Location: On-site employment