Junior Data Engineer
Grupo Criatto Rh
Posted: 10/22/2026AirflowAWSDynamoDBETLMySQLNoSQLPandasPostgresPython+1 more
Senior Data Engineer
Global TI
Posted: 10/22/2026AirflowAWSAzureETLGoogle Cloud PlatformPythonScalaSQL
Data Engineer – Mid-Level
Grupo Criatto Rh
Posted: 10/22/2026AirflowAmazon RedshiftApacheAWSDockerDynamoDBETLKafkaKubernetes+4 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
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing and maintaining ETL/ELT pipelines using Python and SQL, with a strong understanding of data integration, cleaning, and validation. Experienced in working with AWS services and relational databases to support data structuring and visualization efforts.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentSQL Query OptimizationPython Scripting with PandasAWS Services IntegrationData Lake and Data Warehouse Structuring
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop and maintain low-complexity ETL/ELT pipelines
- Integrate data from files, APIs, and databases
- Perform data cleaning, transformation, and validation
- Create automation scripts using Python and SQL
- Support the structuring of Data Lakes and Data Warehouses
- Monitor pipelines and resolve known issues
- Document processes
- Apply best practices for quality, security, and version control
- Collaborate with technical and business teams
- Prepare datasets for dashboards, validate metrics, and maintain simple visualizations
Requirements
What you’ll need- SQL: queries, JOINs, aggregations, subqueries, and basic optimization concepts
- Python for ETL/ELT scripts, Pandas, and Boto3
- Fundamentals of Shell scripting and automation
- Knowledge of relational databases, PostgreSQL or MySQL, and basic familiarity with NoSQL, including DynamoDB
- Understanding of ETL/ELT concepts, pipelines, data modeling, Data Lakes, and Data Warehouses
- Basic AWS: S3, RDS, Glue, Athena, and Lambda
- Basic knowledge of IAM, cloud security, and CloudWatch
- Experience interacting with AWS services
- Git, branches, commits, pull requests, and basic conflict resolution
- Basic unit testing with pytest
- Basic understanding of orchestration with Airflow or Step Functions
- Technical documentation and validation of data quality and integrity
- Experience with or familiarity with Power BI, Amazon QuickSight, or other BI tools is desirable
- Analytical ability, organization, clear communication, and a willingness to learn and continue developing technically
Benefits
Comp & perks- Contractor engagement (PJ)
- Hybrid work arrangement
- Opportunity to work for a leading company in Cloud solutions and digital transformation
- Opportunities for growth and technical development with increasing autonomy
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonETL/ELT ConceptsData ModelingAWS S3AWS RDSGitUnit Testing with PytestAirflow OrchestrationData Validation
Soft Skills
Analytical AbilityOrganizationClear CommunicationWillingness to Learn
Tools & Technologies
PostgreSQLMySQLDynamoDBPower BIAmazon QuickSightBoto3CloudWatchIAMAWS GlueAWS Lambda
Industry Keywords
Data LakesData WarehousesData CleaningData TransformationAutomation ScriptsTechnical DocumentationData QualityVersion ControlBI ToolsCloud Security