[Job-29213] Senior Data Engineer, Brazil

BrazilRemoteHomeofficesenior

Data EngineerData

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Overview

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,

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Data EngineerData

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

==> Only CV in English will be consider

==> Only Fluent English - C1 or higher speakers will be consider (you will have a lot of interaction with clients and stakeholders in US daily).

We are looking for a skilled Senior Data Engineer with strong expertise in Databricks to join a global data transformation initiative.

In this role, you will support the evolution of an Enterprise Data Foundation, helping stabilize and standardize data ingestion processes while ensuring alignment with global data platform standards and best practices.

You will work closely with cross-functional and international teams, designing scalable ingestion pipelines and contributing to modern data architecture initiatives based on the Medallion Architecture framework.

Collaborate with cross-functional teams to understand data ingestion and integration requirements
Design, develop, and maintain scalable PySpark and SQL ingestion pipelines
Build and optimize ETL/ELT workflows aligned with Medallion Architecture standards
Integrate data from multiple sources into enterprise data lake environments
Ensure data quality, integrity, reliability, and performance across ingestion processes
Align local ingestion workflows with global platform standards and governance
Monitor, troubleshoot, and improve ingestion pipelines and data workflows
Document ingestion processes and technical implementations
Support stakeholders and provide technical guidance when needed
Stay updated on modern data engineering practices and technologies such as Delta Sharing, Lakeflow Connect, and REST APIs

Requirements

~1 min read

Proven experience as a Data Engineer or similar role focused on data ingestion and transformation
Hands-on experience with Databricks and Medallion Architecture
Strong proficiency in PySpark and SQL
Experience working with Data Lakes and modern data platform concepts
Strong analytical and problem-solving skills
Ability to work both independently and collaboratively in global environments
Advanced English communication skills (written and spoken)
Experience with cloud platforms (Azure is a plus)