Senior Data Engineer

Grupo S2

. Develop and maintain data ingestion pipelines from APIs, CSV, JSON, and Parquet files, as well as transactional databases .

Posted 10/3/2026full-timeRio de Janeiro • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data ingestion pipelines, utilizing AWS services, and implementing data infrastructure with Terraform. Proficient in SQL and Python for automation, with a strong understanding of data architecture and analytics integration.

Highest-signal resume keywords

Data EngineeringAWS Data ServicesSQLPython AutomationTerraform (IaC)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesETL/ELTIncremental ExtractionIdempotency ControlsData Lake ArchitectureAPIs ConsumptionOrchestration ToolsMedallion ArchitectureData ContractsAnalytics Integration

Soft Skills

Technical SupportProblem Solving

Tools & Technologies

AWS GlueAWS LambdaAWS S3AWS AthenaGitHubCI/CD PipelinesTerraformAirflowStep FunctionsDbt

Certifications & Qualifications

AWS Certified Data EngineerAWS Certified Solutions Architect – Associate

Industry Keywords

Data InfrastructureData Freshness SLAsAnalytics EngineeringVersion ControlPull Requests

Tech Stack

Tools & technologies

AirflowAWSETLPythonSQLTerraform

About the role

Key responsibilities & impact

Develop and maintain data ingestion pipelines from APIs, CSV, JSON, and Parquet files, as well as transactional databases
Build integrations using native AWS services, including Glue, Lambda, S3, Kinesis, DMS, Athena, and EventBridge
Implement incremental extraction and full-load routines with idempotency and reprocessing controls
Monitor and address ingestion failures, including retries, dead-letter queues, and alerts
Provision and maintain data infrastructure using Terraform
Manage source code, CI/CD pipelines, and code reviews through GitHub, including Actions, pull requests, and branching strategies
Apply medallion architecture across the bronze, silver, and gold layers
Structure data in the silver layer for consumption by Analytics Engineers
Align data contracts, schemas, and data freshness SLAs with the analytics team
Provide technical support for troubleshooting data sources when needed

Requirements

What you’ll need

Experience in data engineering, including ingestion pipelines and ETL/ELT
Strong command of SQL
Experience with Python for automation and integration scripts
Knowledge of AWS data services, including at minimum S3, Glue, Lambda, and Athena
Experience with Git/GitHub, version control, pull requests, and code reviews
Knowledge of Terraform (IaC)
Experience consuming APIs, including authentication, pagination, and rate limiting
AWS certification is a plus, such as AWS Certified Data Engineer or AWS Certified Solutions Architect – Associate
Experience with orchestration tools such as Airflow and Step Functions is a plus
Knowledge of dbt is a plus
Experience with data lake/lakehouse architectures is a plus
Previous experience delivering data to BI/Analytics Engineering teams is a plus

Benefits

Comp & perks

Birthday Day Off
Remote Work Allowance: stipend to support working from home
Psychological support through a partnership with INMD
Optional transportation allowance
Meal or food allowance of BRL 53.00 per day
Discounts on medications through the Pluxee app
Optional Bradesco Saúde and Amil Dental plans, extendable to family members
Access to the On Happy platform for experiences and travel at special rates
Discounts on courses and programs from institutions such as Descomplica, Ânima Educação, FGV, and Open English
50% discount on Cantão, Redley, and Kenner brands
Life insurance