Position Details
About this role
Senior Data Engineer role focused on building advanced data ecosystems for analytics, predictive models, and AI. You will define and evolve data architectures, lead complex ETL/ELT pipelines, and ensure data quality, governance, and security.
Key Responsibilities
- Define and evolve Powercenter and Informatica Cloud data architectures
- Lead ETL/ELT pipelines at scale
- Ensure data quality, observability, governance, and security
- Support MLOps and DataOps practices
- Evaluate and implement data technologies, mentor teams
Technical Overview
Works with Powercenter and Informatica Cloud to design scalable data architectures and pipelines using ETL/ELT. Establishes observability and governance controls and supports productionization of ML with MLOps and DataOps practices.
Ideal Candidate
The ideal candidate is a senior Data Engineer with strong experience engineering data pipelines for Data Science use cases. They have deep, hands-on domain expertise in Powercenter and Informatica Cloud, with advanced SQL and Oracle knowledge.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have Dominio de Powercenter, Informatica Cloud, SQL, Oracle, Must have Solida experiencia em engenharia de dados aplicada a Data Science
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