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Mid-Level Data Engineer

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. Build and manage reliable data pipelines for data ingestion/collection, processing, integration, storage, and delivery .

Posted 9/30/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and managing data pipelines, integrating and processing large volumes of data, and collaborating with analytics teams to deliver data-driven solutions. Proficient in Big Data technologies and methodologies, with a strong focus on AWS tools and data modeling.

Highest-signal resume keywords
Data Pipeline ManagementBig Data ProjectsData Processing with PySparkETL Tools ExperienceAWS Tools Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data IngestionData IntegrationData ProcessingSQL DatabasesRelational Data ModelingDimensional Data ModelingBehavior-Driven DevelopmentData Extraction with PythonData LakesDataOps
Tools & Technologies
PySparkAWS EMRAWS KinesisAWS RedshiftAWS S3AWS GlueElasticsearchKafkaTerraformCloudFormation
Certifications & Qualifications
AWS Certifications

Tech Stack

Tools & technologies
Amazon RedshiftAWSElasticSearchETLKafkaPySparkPythonSQLTerraform

About the role

Key responsibilities & impact
  • Build and manage reliable data pipelines for data ingestion/collection, processing, integration, storage, and delivery
  • Work on distributed systems architectures for parallel processing of large volumes of data (MPP)
  • Combine diverse heterogeneous data sources
  • Collaborate with analytics and data science teams to build data-driven solutions and generate value

Requirements

What you’ll need
  • Hands-on experience with ingesting, integrating, processing, and storing large volumes of data
  • Experience working on Big Data projects
  • Behavior-Driven Development (BDD)
  • Data extraction with Python and data processing with PySpark
  • Experience with ETL tools
  • Knowledge of relational and dimensional data modeling (Data Warehouse)
  • Experience with SQL databases
  • Experience with Big Data tools on AWS, including EMR, Kinesis, Redshift, S3, Glue, and Elasticsearch
  • Knowledge of Kafka
  • Knowledge of Data Lakes and DataOps
  • AWS certifications are desirable
  • Knowledge of Terraform or CloudFormation is desirable

Benefits

Comp & perks
  • Flexible Swile card to use as you choose (meal and food allowances)
  • TotalPass or Gympass
  • Mental Health Support – Psicologia Viva
  • Bradesco Health Insurance
  • Bradesco Dental Insurance
  • Profit Sharing
  • Childcare Allowance for mothers
  • Certification incentives
  • Special talks and webinars
  • RAF referral bonus program
  • Life Insurance
  • English or Italian language subsidy
  • Open English discount
  • Birthday gift
  • Possibility of relocating to another country
  • University partnerships