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A leading data science company in Porto Alegre is searching for a Senior Data Scientist to lead the development of scalable data pipelines using Databricks. This role involves designing high-quality datasets and visualizations with a strong focus on data ingestion and transformation from diverse sources. The ideal candidate will develop reusable pipeline frameworks and ensure data accuracy through insights delivered via Power BI dashboards. A perfect fit for experienced professionals looking to leverage their skills in a dynamic environment.
We’re seeking an experienced Senior Data Scientist to lead the development of scalable data pipelines using Spark, PySpark, SQL, and Delta Lake.
This role focuses on designing and implementing high‑quality datasets and visualizations, leveraging expertise in data ingestion, transformation, and publication. Design and optimize ETL / ELT pipelines in Databricks using PySpark, Spark SQL, and Delta Lake. Ingest, clean, and transform data from diverse sources (APIs, SQL databases, cloud storage, SAP / legacy systems, streaming).
Develop reusable pipeline frameworks, data validation logic, and performance‑tuned transformations. Deliver insights through Power BI dashboards, ensuring data accuracy, reliability, and quality. Implement best practices for lakehouse development, orchestration, and version control.