Imagine building a data platform from scratch that powers near real-time healthcare analyticsJoin our expert team to work on a Healthcare data platform, contributing to the design and implementation of scalable end-to-end data solutions. You will apply your knowledge of Databricks, PySpark, SQL and Azure technologies to build modern data pipelines, analytical data models and business-facing data products. The platform combines both near real-time and batch processing, transforming raw data into actionable insights through dashboards, reporting solutions and analytics applications.Even if you work on an external project, you will feel part of the team and always supported.You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals.As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions,
with autonomy and the opportunity to share knowledge with other experts.What you will bring ð - Strong experience building cloud-based data solutions, ideally on Azure. - Hands-on expertise with Databricks, Spark/PySpark and SQL. - Experience designing analytical data models and delivering business-facing data products. - Strong experience with dashboards and reporting tools such as Power BI, Tableau, Looker or similar. - Experience with event-driven architectures and near real-time data processing. - Ability to work across the full data lifecycle: ingestion, transformation, modeling and visualization.You will be responsible for designing, developing and evolving end-to-end data solutions, from ingestion and transformation to analytics and visualization. You will also collaborate closely with business stakeholders to translate requirements into dashboards, reporting solutions and data products that deliver real business value. Additionally, you will contribute to architecture decisions in a g
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