Senior Databricks Data Engineer

Análisis del mercado

Stack

Gratis, tras iniciar sesión.

Postular

Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.

Descripción

Role Summary We are looking for a Senior Databricks Data Engineer with proven hands-on Databricks experience to build, develop and manage STACK’s enterprise data platform. This is a production-focused engineering role requiring practical expertise in Databricks, PySpark, Python, SQL and Delta Lake. The role will design reliable pipelines integrating Finance, Delivery, Operations, HR and PMO systems, establish governed and high-quality datasets, and support secure, scalable analytics and reporting. Working with technical and business stakeholders, the successful candidate will take ownership of data engineering solutions and help improve the reliability and performance of the platform. Key Responsibilities: · Design, develop, deploy and maintain production-grade ETL/ELT pipelines using Databricks, PySpark, Python and SQL, integrating APIs, databases, SaaS applications, files and spreadsheets. · Develop and optimize scalable Delta Lake data models and lakehouse architecture for reporting, analytics and future AI use cases. · Build, schedule, monitor and troubleshoot data processing jobs using Databricks Workflows, Lakeflow or Delta Live Tables, as appropriate. · Apply Unity Catalog governance, including access permissions, data ownership, lineage and common data definitions. · Support Databricks workspaces, compute resources, SQL Warehouses, service principals and access management in partnership with relevant technology teams. · Manage development, test and production deploym

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión

Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.