Data Engineer

Description

Job Summary: We are seeking a Data Engineer to work on modern data architectures, solving performance and scalability challenges in advanced analytics projects on Azure. Key Highlights: 1. Working with modern data architectures and advanced analytics. 2. Building scalable pipelines in Databricks and Lakehouse solutions. 3. Optimizing data using advanced SQL and PySpark. **Data Engineer** **Description:** Are you interested in working with modern data architectures and solving real-world performance and scalability challenges? We are looking for a **Data Engineer** to participate in advanced analytics projects within an Azure ecosystem. **Requirements:** * Bachelor's degree or Engineering in Computer Systems, Information Technologies, Data Science, Actuarial Science, Applied Mathematics, or related field * +3 to 5 years in Data Engineering / Data Engineer roles * Experience working with large volumes of data (Big Data) * Participation in data architecture or advanced analytics projects * Experience with advanced SQL (window functions, performance) / Databricks / Spark / Azure Data Platform / Power BI (DAX) * **Conversational English** **Responsibilities:** * Building scalable pipelines in **Databricks** * Designing solutions based on the **Lakehouse (Medallion)** architecture * Optimizing data using **advanced SQL and PySpark** * Developing analytical solutions in **Power BI** * Implementing **data governance and traceability practices** * Experience with ML, LLMs, or Data Governance **(PLUS)** If you have worked in Lakehouse-like environments and know how to move data from raw to business-ready insights, we want to meet you. **Work Model:** Hybrid, South CDMX Salary: $35,000.00 \- $40,000.00 per month Benefits: * Grocery vouchers Work Location: Hybrid remote in 03330, Xoco, CDMX