Senior Data Engineer

GFT Technologies

Profissional de engenharia de dados com foco em processamento de grandes volumes. Desenvolvimento e manutenção de pipelines em ambientes distribuídos com qualidade e governança.

Posted 6/26/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSETLNoSQLScalaSpark

About the role

Key responsibilities & impact

Responsible for designing, developing, and maintaining data engineering solutions, ensuring scalable and reliable data ingestion, processing, and delivery.
Works on system integrations, especially SAP, and builds pipelines in a Data Lake environment to support analyses and reports in Power BI.
Configure and manage data extraction from SAP systems using techniques such as CDC (Change Data Capture) and native connectors (ODP, OData, CDS Views).
Develop, orchestrate, and monitor ingestion and transformation pipelines using Azure Data Factory (ADF).
Implement data transformation processes using SQL and/or Spark (when applicable to the environment).
Structure and maintain data in the Data Lake organized into Bronze, Silver, and Gold layers, following Data Lakehouse architecture best practices.
Ensure data quality, integrity, and consistency throughout the pipeline.
Prepare reliable and optimized datasets for consumption in Power BI.
Implement best practices for code and pipeline versioning using GitHub.
Monitor and optimize the performance of data loads and transformations.
Document data flows, pipelines, and data architecture.
Collaborate with BI and business teams to meet analytical requirements.

Requirements

What you’ll need

Experience with SAP data integration: CDC (Change Data Capture), ODP (Operational Data Provisioning), OData, and CDS Views.
Hands-on experience with Azure Data Factory (ADF) and Data Lake.
Strong SQL skills.
Experience in data modeling and transformations.
Knowledge of layered data architecture (Bronze, Silver, Gold).
Experience with GitHub (code versioning).
Familiarity with data formats such as Parquet or similar.
Experience preparing data for Power BI.
Knowledge of distributed processing (Spark or equivalent).
Programming languages such as Python.
Experience with data quality and governance tools.
Knowledge of dimensional modeling (star schema).
Experience monitoring data pipelines.
Agile methodologies (Scrum/Kanban).
Experience in SAP-to-Data Lake integration projects.
Experience preparing data for analytics and dashboards.
Knowledge of data governance and quality best practices.
Experience working in large enterprise environments.

Benefits

Comp & perks

Multi-benefit card – choose how and where to use it.
Scholarships for undergraduate, graduate, MBA, and language courses.
Certification incentive programs.
Flexible working hours.
Competitive salaries.
Annual performance review with a structured career plan.
Opportunity for international career development.
Wellhub and TotalPass.
Private pension (retirement plan).
Childcare assistance.
Health insurance.
Dental insurance.
Life insurance.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata ingestiondata processingdata deliverySQLSparkdata modelingdata transformationdata qualitydata governance

Soft Skills

collaborationcommunicationdocumentationproblem-solvinganalytical thinking