This position is posted by Jobgether on behalf of a partner company. We are currently looking for a ANALISTA DADOS PL ETL in Brazil.

This role is focused on building and maintaining robust data pipelines that support business intelligence and strategic decision-making in complex enterprise environments. You will work with large volumes of data from multiple sources, ensuring accurate extraction, transformation, and loading processes that feed analytical platforms and reporting systems. The position requires strong analytical thinking and attention to detail, as the quality of your work directly impacts managerial and operational decisions. You will collaborate closely with technical and business teams to translate data requirements into scalable ETL solutions. The environment is dynamic and data-driven, with a strong emphasis on performance, reliability, and data quality. This is an excellent opportunity for professionals who want to deepen their expertise in data engineering and analytics within a global technology context.

• Extract data from multiple corporate and legacy systems, ensuring accurate integration across heterogeneous data sources.
• Design and implement ETL processes with complex business rules, supporting data transformation, consolidation, and enrichment.
• Perform large-scale data aggregation, reconciliation, and cleansing to ensure consistency and reliability of analytical datasets.
• Load and maintain data in analytical databases and reporting structures used for business intelligence and decision-making.
• Maintain and evolve data pipelines, ensuring performance optimization, traceability, and reliable reprocessing capabilities.
• Identify and resolve data quality issues, ensuring accuracy, completeness, and consistency across all data flows.
• Collaborate with business teams to translate analytical needs into technical ETL solutions.

Requirements:

• Solid experience in ETL processes and analytical data modeling in enterprise environments.
• Strong SQL skills for complex queries, transformations, and data manipulation.
• Experience working with relational databases and analytical data platforms.
• Knowledge of data quality practices, validation rules, and reconciliation processes.
• Understanding of performance optimization and data pipeline efficiency.
• Ability to work with large datasets and ensure scalability of data processing workflows.
• Strong analytical mindset, attention to detail, and ability to operate in complex business rule environments.
• Good communication skills to interact with both technical and business stakeholders.
• Nice to have experience with SAS for data processing and maintenance activities.

Benefits:

• Meal or food allowance.
• Health insurance coverage.
• Dental insurance coverage.
• Access to training platforms and educational discounts.
• Online learning academy with certified courses.
• Mentorship and professional development programs.
• Discount club for services and retail partners.
• Travel benefits and partnerships.
• Access to wellness, health, and consultation benefits.
• Pet care partnership programs.