Engenheiro de Dados sênior in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro de Dados sênior based in Brazil.

This role is designed for a senior data professional who wants to build scalable and strategic data solutions in a high-impact technology environment.
You will be responsible for designing modern data architectures and enabling business initiatives through reliable, automated, and efficient data platforms.
The position combines technical depth, architectural vision, and collaboration with multidisciplinary teams to transform complex requirements into robust solutions.
You will work with cloud technologies, DataOps practices, and advanced data engineering approaches to support innovation and decision-making.
The ideal candidate will contribute to the evolution of data ecosystems, ensuring performance, governance, and scalability.
This is an opportunity to influence the way organizations leverage data, AI, and emerging technologies to create measurable business value.

As a Senior Data Engineer, you will be responsible for designing, implementing, and evolving data platforms that support strategic business needs. You will collaborate with technical and business stakeholders to create scalable solutions, improve data reliability, and enable advanced analytics and AI initiatives.

• Design and evolve data architectures by defining standards, best practices, governance strategies, scalability approaches, FinOps principles, and integrations with AI platforms (ML/GenAI).
• Support data-driven initiatives from project conception, translating business requirements into robust technical solutions.
• Develop scalable and resilient data ingestion and processing pipelines using DataOps principles to ensure quality, automation, monitoring, and operational efficiency.
• Build and optimize solutions based on modern data architecture concepts, including Data Lake, Data Warehouse, Lakehouse, and Data Mesh environments.
• Implement and maintain ETL/ELT workflows and orchestration processes to support reliable data operations.
• Collaborate with cross-functional teams to transform business challenges into measurable data solutions through KPIs and analytical insights.

The ideal candidate has strong experience in data engineering, cloud environments, and large-scale data solutions, combining technical expertise with the ability to communicate effectively with different stakeholders.

• Solid experience working as a Data Engineer in large-scale data environments.
• Strong knowledge of data architecture concepts, including Data Lake, Data Warehouse, Lakehouse, and Data Mesh.
• Advanced SQL skills, including optimization of complex queries.
• Advanced programming experience with Python and PySpark.
• Hands-on experience with AWS data services such as Glue, EMR, Redshift, S3, and Step Functions.
• Experience developing ETL/ELT pipelines and data orchestration workflows using tools such as Airflow and Step Functions.
• Knowledge of software engineering best practices, including version control, CI/CD, and automated testing.
• Ability to translate business requirements into quantitative metrics, KPIs, and OKRs.
• Strong analytical thinking, problem-solving skills, and ability to work collaboratively with technical and business teams.

• Meal allowance or food voucher.
• Discounts on courses, universities, and language institutions.
• Access to a corporate learning platform with free, updated online courses and certifications.
• Mentoring programs focused on professional development.
• Healthcare benefits, including medical assistance.
• Dental assistance.
• Benefits club with discounts at partner establishments.
• Travel benefits and partnerships.
• Pet care assistance program.