Data Engineer jobs in Brazil
Explore 176 matching jobs.
Data Engineer – Mid-Level
Grupo Criatto Rh
Posted: 10/22/2026AirflowAmazon RedshiftApacheAWSDockerDynamoDBETLKafkaKubernetes+7 more
Senior Data Engineer
Global TI
Posted: 10/22/2026AirflowAWSAzureETLGoogle Cloud PlatformPythonScalaSQL
Junior Data Engineer
Grupo Criatto Rh
Posted: 10/22/2026AirflowAWSDynamoDBETLMySQLNoSQLPandasPostgresPython+1 more
Data Engineer, Mid-Level
Stefanini Brasil
Posted: 10/22/2026ApacheAzureCloudETLITSMPySparkPythonSparkSQL
Senior Data Engineer
Stefanini Brasil
Posted: 10/22/2026AzureETLKafkaNoSQLPySparkPythonSparkSQLTerraform+1 more
Senior Data Engineer
Grupo EASY
Posted: 10/21/2026AirflowAWSBigQueryCloudETLGoogle Cloud PlatformHadoopMySQLNoSQL+4 more
Data Engineer
ioasys
Posted: 10/21/2026Amazon RedshiftAWSAzureDockerETLGoogle Cloud PlatformJavaJenkinsKubernetes+4 more
Senior Data Engineer
Zup Innovation
Posted: 10/20/2026AWSAzureCloudETLPythonScalaSparkSQL
Data Engineer – AI
RevStar
Posted: 10/20/2026ApacheAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL+1 more
Data Engineer
Cadmus Soluções em TI
Posted: 10/20/2026CloudETLGoogle Cloud PlatformNoSQLPySparkPythonSparkSQL
Tech Lead, Data Engineering
Cadmus Soluções em TI
Posted: 10/20/2026ApacheCloudETLJavaKafkaNoSQLPySparkReactSpark+1 more
Senior Platform Engineer – Data & Infrastructure
Assertive Yield B.V.
Posted: 10/19/2026DNSKubernetesLinuxGo
FBS Data Engineer, SQL, Power BI
Capgemini
Posted: 10/18/2026Cloud
Mid-Level Data Engineer
SysMap Solutions
Posted: 10/17/2026AirflowAWSAzureCloudETLPySparkPythonSQLUnity
Data Engineering Specialist – AI
Vivara
Posted: 10/17/2026AzureCloudCyber SecurityJavaScriptNode.jsTypeScript
Data Engineer, Mid-Level
Stefanini Brasil
Posted: 10/16/2026AirflowAmazon RedshiftAWSCloudHadoop
Data Engineering Analyst – Azure Data Platform
Avanade
Posted: 10/15/2026AzureETLPySparkSQL
Senior Data Engineer, GCP
Leega
Posted: 10/15/2026AirflowBigQueryCloudGoogle Cloud PlatformPythonSQLTerraform
AI Data Engineer
Gomes de Matos Consultores Associados
Posted: 10/15/2026AirflowApacheAWSAzureCloudDockerETLGoogle Cloud PlatformGrafana+4 more
Senior Data Engineer
Cadastra
Posted: 10/15/2026CloudKubernetesPythonSQL

Data Engineer – Mid-Level
Grupo Criatto RhCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing ETL/ELT pipelines, data modeling, and cloud performance optimization. Proficient in AWS services and data architecture concepts, with strong analytical and communication skills for cross-functional collaboration.
Highest-signal resume keywords
Advanced SQLPython for Data EngineeringAWS Services (S3, Glue, Redshift)Apache AirflowData Lake and Data Warehouse Architecture
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSDockerDynamoDBETLKafkaKubernetesNoSQLNumpyPandasPySparkPythonSQLTerraform
About the role
Key responsibilities & impact- Develop, maintain, and optimize ETL/ELT pipelines
- Integrate data from different sources, ensuring quality, security, and reliability
- Build and maintain Data Lakes, Data Warehouses, and Lakehouse architectures
- Perform data modeling and orchestrate workflows
- Monitor production environments
- Optimize cloud performance and costs
- Support migrations and documentation
- Work with CI/CD
- Collaborate with cross-functional teams
- Independently deliver projects of moderate complexity
- Provide technical support to junior professionals
Requirements
What you’ll need- Advanced SQL and query optimization
- Python for data engineering, including PySpark, Pandas, Boto3, and NumPy
- Experience with or knowledge of AWS services: S3, Glue, Glue Data Catalog, Athena, Redshift, Lambda, Step Functions, RDS, and DynamoDB
- Apache Airflow and dbt for data orchestration and transformation
- Dimensional modeling, relational databases, and NoSQL fundamentals
- Data Lake, Data Warehouse, and Lakehouse architecture concepts
- Git, pull requests, code reviews, pytest-based testing, and CI/CD fundamentals
- Monitoring with CloudWatch and security with IAM, KMS, and Secrets Manager
- Fundamentals of data migration, infrastructure as code (Terraform or CloudFormation), and Machine Learning
- Preferred: Kafka, Kinesis, MSK, CDC, Databricks, Delta Lake, Apache Iceberg/Hudi, Docker, Kubernetes, advanced Terraform, observability, data governance and lineage, AWS DMS/SCT, Power BI or QuickSight, and Machine Learning model integration
- Ability to independently deliver projects of moderate complexity
- Strong analytical and communication skills when working with technical and business teams
- Focus on data quality, performance, and reliability
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT Pipeline DevelopmentData ModelingQuery OptimizationDimensional ModelingRelational DatabasesNoSQL FundamentalsInfrastructure as Code (Terraform)Machine Learning FundamentalsData MigrationMonitoring with CloudWatch
Soft Skills
Analytical SkillsCommunication SkillsCollaboration
Tools & Technologies
PySparkPandasBoto3GitDockerKubernetesApache IcebergPower BIQuickSightCI/CD
Industry Keywords
Data GovernanceData LineageObservabilityCloud Performance OptimizationData Quality