Data Engineer – AWS, Databricks

Stefanini Brasil

Data Engineer focused on AWS and Databricks at Stefanini. Role involves building data pipelines and ensuring data governance using modern tools.

Posted 7/3/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data ingestion and transformation pipelines, with a strong focus on ELT/ETL processes using PySpark and SQL. Proficient in implementing data quality standards and ensuring compliance with data handling policies under the LGPD.

Highest-signal resume keywords

Data EngineeringPySparkSQLDatabricks (Delta Lake)ELT/ETL Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData Quality FrameworksDimensional ModelingData VaultBatch IngestionStreaming IngestionAPI IntegrationData ProfilingOrchestration

Soft Skills

Fluent English

Tools & Technologies

Databricks WorkflowsApache AirflowUnity CatalogAuto LoaderKafkaStructured StreamingDbtDelta Live Tables

Industry Keywords

LGPDMedallion ArchitectureData GovernanceObservabilityPipeline Monitoring

Tech Stack

Tools & technologies

AirflowApacheETLKafkaPySparkSQLUnityVault

About the role

Key responsibilities & impact

Build and maintain data ingestion, transformation, and curation pipelines;
Develop ELT/ETL pipelines using PySpark and SQL across Medallion layers;
Implement data quality rules, monitoring, and remediation standards;
Perform data profiling and source inventory for assessment and governance;
Catalog datasets and apply data handling policies compliant with the LGPD (Brazilian Data Protection Law) using Unity Catalog;
Work on API integration, multiple data sources, and orchestration processes.

Requirements

What you’ll need

Strong experience as a Data Engineer;
Databricks (Delta Lake);
PySpark and SQL;
Building ELT/ETL pipelines;
Medallion architecture;
Batch and streaming ingestion (Auto Loader, Kafka, and Structured Streaming);
Dimensional modeling and Data Vault;
dbt and/or Delta Live Tables (DLT);
Data quality frameworks (Great Expectations, DLT Expectations);
Observability and pipeline monitoring;
Orchestration with Databricks Workflows and/or Apache Airflow;
Integration with APIs and various data sources;
Fluent English is essential for conversation.

Benefits

Comp & perks

Meal or food allowance (meal voucher);
Discounts on courses, universities, and language schools;
Stefanini Academy — platform with free, up-to-date online courses with certificates;
Mentoring;
Benefits club for medical consultations and exams;
Health insurance;
Dental insurance;
Perks and discounts at leading establishments;
Travel club;
Pet care plan/partnership.