Analista de Dados – Sênior in Brazil, Indiana at Jobgether

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.

• 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.

• 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.

• 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.