ppSenior Lead Data Engineer at Brillio 2. /ph3About the role /h3pThis position involves developing and expanding Brillio's data and analytics infrastructure. You will focus on creating, building, and managing efficient, dependable, and cost-effective data pipelines and platforms within a cloud environment. The role requires a hands‑on approach to designing data systems from scratch. /ph3Key facts /h3pLocation: Guadalajara, Jalisco, Mexico Engagement: Employee /ph3What you'll do /h3ulliDesign, build, and operate cloud‑based data pipelines that are scalable, reliable, and performant. /liliCreate and maintain large, complex datasets that fulfill both functional and non‑functional business needs. /liliImplement database management best practices, including logical data modeling, physical database optimization, and data security. /liliDevelop and improve data quality checks to ensure the accuracy, integrity, and reliability of data pipelines. /liliCollaborate with Data Analytics experts to continuously enhance data platform capabilities and usability. /liliSupport various teams, systems, and products by providing consistent and optimized data delivery architectures. /liliParticipate in on‑call support rotations and proactively resolve user issues based on severity and business impact. /liliContribute to improving operational processes, monitoring, and the reliability of data platforms. /li /ulh3Requirements /h3ulli5+ years of experience designing, building,



and operating data pipelines for large and complex datasets. /liliStrong experience with structured and unstructured data, including JSON. /liliExtensive hands‑on experience with advanced SQL for data transformation and analysis. /lili3+ years of experience with Python and PySpark for large‑scale data processing. /liliHands‑on experience transforming and processing data using Databricks. /lili3+ years of experience building data solutions on AWS. /liliExperience using Git and CI/CD practices for data and platform development. /liliStrong collaboration skills to support data engineers, analysts, data scientists, and software engineers. /liliSelf‑directed, ownership‑driven mindset with the ability to manage multiple concurrent priorities. /li /ulh3Nice to have /h3ulliExperience with Power BI or similar business intelligence and visualization tools. /liliFamiliarity with modern data lake and data warehouse architectures. /liliExperience implementing observability, monitoring, and alerting for data pipelines. /liliExposure to streaming data technologies or near real‑time data processing. /liliExperience in a fast‑growing, platform‑focused or SaaS environment. /li /ulh3Skills tools /h3ulliAthena /liliSNS /liliSQS /liliCloudWatch /liliKinesis /liliRedshift /liliAWS Data Engineering Advanced: Associate Data Engineer specialization /li /ul /p #J-18808-Ljbffr

📌 Senior Lead Data Engineer (Castilla-La Mancha)
🏢 Brillio 2
📍 Castilla-La Mancha