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Data Engineer – Mid-Level

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. Build and manage reliable data pipelines covering data ingestion/collection, processing, integration, storage, and delivery across the organization .

Posted 11/5/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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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 utilizing AWS Big Data services and ETL tools to optimize data workflows.

Highest-signal resume keywords
Data Pipeline ManagementBig Data ProjectsData Processing with PySparkAWS Big Data ServicesETL Tools

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 PythonKnowledge of KafkaData Lakes
Tools & Technologies
AWS EMRAWS KinesisAWS RedshiftAWS S3AWS GlueAWS ElasticsearchTerraformCloudFormation
Certifications & Qualifications
AWS Certifications
Industry Keywords
DataOpsDistributed Systems ArchitectureMassively Parallel Processing

Tech Stack

Tools & technologies
Amazon RedshiftAWSElasticSearchETLKafkaPySparkPythonSQLTerraform

About the role

Key responsibilities & impact
  • Build and manage reliable data pipelines covering data ingestion/collection, processing, integration, storage, and delivery across the organization
  • Work within a distributed systems architecture for massively parallel processing (MPP) of large-scale data
  • Combine multiple 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 AWS Big Data services and tools, such as EMR, Kinesis, Redshift, S3, Glue, and Elasticsearch
  • Knowledge of Kafka
  • Knowledge of Data Lakes and DataOps
  • AWS certifications (preferred/considered a plus)
  • Knowledge of Terraform or CloudFormation (preferred/considered a plus)

Benefits

Comp & perks
  • Cutting-edge environment / Innovation in our DNA – Challenging projects alongside specialized experts
  • Continuous learning – Discounts and partnerships with leading universities and tech learning platforms in Brazil
  • Language learning without barriers – Special rates on language-learning platforms
  • 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 plan
  • Childcare assistance for mothers
  • Certification incentives
  • Special talks and webinars
  • RAF referral bonus program
  • Life insurance
  • English or Italian language allowance
  • Open English discount
  • Birthday gift
  • Opportunity to relocate to another country
  • University partnerships