Data Engineer, AWS

Stefanini Brasil

Building and scaling data pipelines at Stefanini using Databricks and AWS for AI/ML and analytics projects. Collaborating with global teams to optimize data workflows.

Posted 4/12/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop and optimize Databricks/Spark pipelines (batch and streaming) with a focus on quality, performance and observability.
Integrate and orchestrate data on AWS (S3, Glue, Athena/Redshift), ensuring governance and security.
Build datasets and pipelines for AI/ML (feature engineering, training and inference data).
Deliver end-to-end data solutions for products and BI (ingestion, transformation and provisioning).

Requirements

What you’ll need

Proven expertise with Databricks and Apache Spark in production.
Hands-on experience with the AWS data/analytics stack.
Strong SQL and Python skills, with good practices in version control and data CI/CD.
Advanced/Fluent English for meetings with global teams.

Benefits

Comp & perks

Meal allowance or food voucher;
Discounts on courses, universities and language schools;
Stefanini Academy — platform with free, up-to-date online courses and certificates;
Mentoring;
Benefits club for medical consultations and exams;
Health insurance;
Dental insurance;
Discounts and perks at leading establishments;
Travel club benefits;
Pet care benefits.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DatabricksApache SparkAWSSQLPythonCI/CDfeature engineeringdata transformationdata ingestiondata provisioning

Soft Skills

communicationcollaborationproblem-solvingattention to detailadaptabilitycritical thinkingtime managementteamworkleadershiporganizational skills