Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Analista de Dados – Sênior in Brazil.

This role is focused on leveraging advanced data engineering and analytics capabilities to support global projects, driving data-driven decision-making at scale. You will be responsible for designing and optimizing data pipelines, ensuring efficient ingestion, transformation, and high-quality data flows across complex environments. The position also involves working with cloud-based architectures, particularly in GCP, supporting the migration of legacy systems to modern data platforms. You will collaborate with cross-functional teams to build scalable solutions, dashboards, and automation processes that generate actionable business insights. Operating in a highly dynamic and innovative environment, this role requires strong technical expertise and a strategic mindset. It is an opportunity to contribute to large-scale transformation initiatives within a global technology-driven organization.

Accountabilities:

• Develop, optimize, and maintain scalable data pipelines to support analytics and business intelligence initiatives.
• Design reusable data workflows for ingestion, transformation, and data quality assurance.
• Support migration of legacy data systems to modern cloud-based architectures using Google Cloud Platform (GCP).
• Build and maintain data models and structured datasets to enable efficient reporting and analysis.
• Ensure data governance, compliance, and best practices across all data engineering processes.
• Collaborate with global teams to deliver dashboards, automation solutions, and strategic insights.
• Apply best practices in SQL and Python to develop efficient and scalable data solutions.
• Support continuous improvement of data architecture, performance, and reliability.

Requirements:

• Advanced proficiency in Python for data engineering and analytics tasks.
• Strong experience with SQL and data modeling techniques.
• Hands-on experience with Google Cloud Platform (GCP) and cloud-based data architectures.
• Proven ability to design scalable and efficient data solutions.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields.
• Advanced or fluent English proficiency (mandatory).
• Strong analytical thinking and problem-solving skills.
• Experience working in global or enterprise-level environments is a plus.
• Knowledge of data governance, quality, and compliance principles.
• Strong communication skills and ability to collaborate in multidisciplinary teams.

Benefits:

• 100% company-subsidized medical assistance for employee and dependents.
• Dental assistance coverage.
• Meal or food allowance with no employee discount.
• Life insurance coverage.
• Private pension plan.
• Wellhub access for wellness and fitness.
• Discounted employee stock purchase program.
• Pharmacy discounts (according to policy).
• Childcare assistance (according to policy).
• Language school partnerships.
• Extended maternity and paternity leave.
• Performance-based profit sharing (PPR).
• Global career opportunities in a leading technology and consulting environment.

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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