Chief Data Architect

Há 6 dias

Florianópolis, Santa Catarina, Brasil beBeeData Tempo inteiro R$100.000 - R$120.000

We are seeking a highly skilled Data Engineer to join our team. As a key member of our organization, you will play a pivotal role in developing and maintaining scalable and resilient data pipelines based on Spark/Databricks.

Your primary responsibility will be to ensure availability and reliability for AI applications by implementing data transformation, cleansing, and enrichment logic from SAP and other sources. You will also support the architect and data scientists in data preparation for model features and AI agents.

A key aspect of this role is automating data ingestion via APIs, CDC (Change Data Capture), SAP integrations, and real-time streams. Additionally, you will contribute best practices for versioning, testing, and reusability in notebooks and jobs.

To succeed in this position, you must have a solid experience in Data Engineering with Spark (preferably Databricks). Proficiency in languages such as PySpark, SQL, and Python is also essential. Familiarity with pipeline orchestration (e.g., Databricks Workflows, Airflow, dbt) and versioning with Git is highly valued.

We are looking for an individual with knowledge of data structures and models of the SAP ecosystem (even if superficial, or willingness to learn). Experience with performance tuning, caching, and partitioning practices in Spark is also desirable.

Prior experience with SAP DataSphere, SAP BTP, or data extraction via SAP OData/CDS Views is a plus. Experience with Delta Lake storage, Hive Metastore, Unity Catalog is also valuable. Basic knowledge of MLflow, data ingestion for models, or feature stores is an asset.

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