Stefanini Brasil

Data Engineer, AWS

Stefanini Brasil

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Tech Stack

Amazon RedshiftApacheAWSPythonSparkSQL

About the role

  • 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

  • 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
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
DatabricksApache SparkAWSSQLPythonCI/CDfeature engineeringdata transformationdata ingestiondata provisioning
Soft Skills
communicationcollaborationproblem-solvingattention to detailadaptabilitycritical thinkingtime managementteamworkleadershiporganizational skills