Engenheiro de Dados Sênior (Sustentação e Integração Oracle / ODI)
Accountabilities: The Senior Data Engineer will be responsible for maintaining and enhancing data integration solutions, ensuring reliable data flows and supporting business-critical systems. The role combines technical execution, problem-solving, and collaboration with different teams to continuously improve the data ecosystem.
Develop and maintain data integration pipelines using Oracle Data Integrator (ODI 11g/12c).
Design, implement, and optimize ETL/ELT processes focused on performance, reliability, and scalability.
Work with dimensional data modeling, including Data Warehouse, Data Marts, and Star Schema structures.
Support database optimization through advanced SQL queries and Oracle ecosystem expertise.
Organize and improve data infrastructure processes, including Linux-based routines and operational support.
Ensure secure and efficient integration between different corporate systems and data sources.
Apply version control practices and contribute to agile delivery methodologies such as Scrum and Kanban.
Investigate and resolve data-related issues, ensuring system availability and continuous improvement.
Collaborate with technical and business teams to deliver robust data solutions.
Requirements:
The ideal candidate should have solid experience in data engineering, database development, and enterprise integration environments, with strong analytical skills and the ability to work independently in complex technical scenarios.
Minimum of 4 years of experience as a Data Engineer, ETL Developer, or Database Specialist.
Advanced knowledge of Oracle Data Integrator (ODI 11g/12c).
Strong practical experience with advanced SQL and Oracle database environments.
Proven experience creating ETL/ELT processes and dimensional data models (DW, Data Marts, Star Schema).
Experience with Linux commands and development environments.
Knowledge of version control tools such as Git and Bitbucket.
Experience working in agile project teams using Scrum and/or Kanban methodologies.
Ability to analyze problems, propose solutions, and collaborate effectively with different stakeholders.
Knowledge of additional technologies such as Python, Airflow, or NiFi is considered a plus.
Familiarity with cloud environments (AWS, Azure, or OCI), Docker, Data Lakes, and API-based data integrations is desirable.
Benefits:
Fully remote work model.
Meal allowance or food voucher.
Health insurance.
Dental insurance.
Discounts on courses, universities, and language institutions.
Access to an online learning platform with updated courses and certifications.
Mentoring programs for professional development.
Healthcare benefits including discounts for consultations and exams.
Exclusive discounts and partnerships with various establishments.
Travel benefits and discounts.
Pet care partnership benefits.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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