We are looking for a professional with solid experience in data platforms, capable of working on the construction, maintenance, and monitoring of pipelines in a cloud environment, with a focus on performance, scalability, and governance. Additionally, they will be responsible for applying best practices for architecture and performance optimization in Power BI, ensuring efficiency and quality in analytical solutions.

This professional should also manage or have knowledge about creating Gateway clusters and access management, ensuring security and integration between environments.

Main Technical Competencies:

Strong experience in cloud data environments, focusing on AWS (Amazon Web Services) — services such as S3, Glue, EMR, Redshift, Lambda, among others.

Experience with Databricks, including development and optimization of notebooks, jobs, and integration with other tools in the data ecosystem.

Knowledge and application of observability in data pipelines – use of monitoring, logging, tracing, and alerting tools to ensure data quality and reliability.

Ability to create and maintain reusable templates and frameworks for data pipeline orchestration.

CI/CD for data practices, automation of deployments, and code versioning.

Experience with data engineering best practices, such as modeling, partitioning, governance, and information security.

Architecture and Performance Tuning in Power BI: optimization of models, DAX, workspace governance, and best practices for corporate environments.

Administration of Gateway clusters and access management for secure integration between environments and users.

Desirable Differentiators:

AWS or Databricks certifications.

Experience in data environments with high volume (Big Data).

Knowledge in Apache Airflow, dbt, Spark or other transformation and orchestration tools.

DevOps/DataOps mindset.