Senior Data Engineer

🕒 3 days ago

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of GFT Technologies

GFT Technologies

10,000+ employees

Founded 1987

🔒 Cybersecurity

📋 Compliance

☁️ SaaS

Cybersecurity • Compliance • SaaS

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Design data migration pipelines using Azure Data Factory; • Support the mapping and transformation of data between ServiceNow and Salesforce; • Define Salesforce architecture for solutions such as Service Cloud, Financial Services Cloud (FSC), Digital Engagement, and Experience Cloud; • Support architectural decisions involving single org, security, permissions, and logical segregation; • Design integrations between Salesforce and external systems (Talkdesk, AWS, Helix, Jira, SAP, RPA, IAM); • Provide guidance on data models, taxonomy, case management, automations, and SLAs; • Act as a technical reference/lead for development and consulting teams;

🎯 Requirements

• Proven experience as an architect or engineer on large-scale Salesforce projects; • Knowledge of Service Cloud, Experience Cloud, and Digital Engagement; • Experience with system integrations and API- and event-driven architectures; • Understanding of governance, security, and permissioning in Salesforce; • Experience with Azure (Data Factory, Big Data, and databases); • Experience with data integration and migration between systems (e.g., ServiceNow); • Ability to translate business requirements into scalable technical solutions.

🏖️ Benefits

• Multi-benefits card – choose how and where to use it. • Education grants/scholarships for undergraduate, postgraduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career development plan. • Opportunity for international career growth. • Wellhub and TotalPass benefits platforms. • Private pension plan. • Childcare allowance. • Health insurance. • Dental insurance. • Life insurance.

Apply Now

Similar Jobs

🕒 3 days ago

Extractta

201 - 500

Senior Data Engineer for strategic data projects in a tech consulting firm. Responsible for scalable data solutions from business needs to implementation.

🗣️🇧🇷🇵🇹 Portuguese Required

Airflow

Apache

Kafka

Kubernetes

PySpark

SQL

🕒 3 days ago

Extractta

201 - 500

Senior Data Engineer responsible for developing, maintaining, and evolving pipelines for data ingestion and processing in Databricks. Working in a dynamic environment with opportunities for growth in Brazil.

🗣️🇧🇷🇵🇹 Portuguese Required

Azure

PySpark

Python

Spark

SQL

🕒 3 days ago

Localiza&Co

10,000+ employees

🚗 Transport

🛍️ eCommerce

👥 B2C

Data Engineer designing and implementing robust data pipelines at Localiza&Co. Utilizing AWS tools to manage and transform data for business insights, enhancing sustainable mobility.

🗣️🇧🇷🇵🇹 Portuguese Required

Airflow

Apache

AWS

ETL

Python

Spark

SQL

🕒 3 days ago

Compass

10,000+ employees

🏠 Real Estate

📱 Media

Senior Data Engineer role focused on data modeling and ETL with Databricks and Azure technologies. Requires 4 years of experience and a postgraduate degree in IT.

🗣️🇧🇷🇵🇹 Portuguese Required

Azure

ETL

Oracle

Python

SQL

🕒 6 days ago

Smarthis

51 - 200

🤖 Artificial Intelligence

Data Architect at Smarthis, focusing on defining efficient data architectures and supporting engineering teams in implementations. Collaborating on data solutions across cloud environments.

🗣️🇧🇷🇵🇹 Portuguese Required

AWS

Azure

Cloud

Google Cloud Platform