**Data Engineering Specialist** **Job Objective** Design, build, and maintain the company’s data infrastructure and data flows, ensuring information is reliable, scalable, and available to generate reports, analyses, and data products such as vehicle histories, risk analysis, and pattern detection. **Responsibilities** **Data Management and Architecture** * Design, optimize, and manage **relational databases** (MySQL, PostgreSQL), ensuring performance, security, and consistency. * Work with **NoSQL databases** (MongoDB, Cassandra) to handle large volumes of unstructured data. * Use **graph databases** (Neo4j) to analyze complex relationships among vehicles, events, owners, and claims. **Data Processing and Integration** * Build and maintain **data pipelines (ETL/ELT)** that integrate information from multiple sources. * Process large volumes of data using **Apache Spark**, ensuring data quality and timely delivery. * Automate data processes and workflows using **Python**, reducing manual tasks and errors. **Data Consumption, Analysis, and Visualization** * Support the creation of **executive dashboards and reports** in Power BI. * Ensure the **reliability and consistency** of data used by business units. * Collaborate with **product, engineering, and business teams** to understand requirements and transform data into value. **Best Practices** * Apply standards for **documentation, version control, and clean code**. * Propose continuous improvements to processes, architecture, and data quality. **Profile We Are Looking For** * Analytical mindset and focus on **scalable solutions**. * Experience working with **large volumes of data and complex structures**. * Ability to **understand the impact of data on business decision-making**. * Proactive, collaborative, and results-oriented profile. Employment Type: Full-time Salary: $30,000.00 \- $35,000.00 per month Benefits: * Grocery vouchers Work Location: On-site