Our partner is looking for a Staff Data Engineer (Women Applicants Only) based in Brazil.

Local

São Paulo - SP

Remoto

Design, build, and maintain high-performance, secure, and scalable data platforms that support analytics, data science, and business intelligence initiatives.
Develop and optimize end-to-end data pipelines, including data ingestion, transformation, validation, aggregation, and quality monitoring processes.
Create and maintain data models and transformation workflows that provide clear, accessible, and reliable data abstractions.
Manage the complete software development lifecycle for data solutions, including deployment, documentation, monitoring, security, performance optimization, and reliability practices.
Investigate data inconsistencies, troubleshoot issues, and identify root causes to ensure data accuracy and trustworthiness.
Enable teams across the organization through self-service data solutions, well-structured datasets, and improved access to information.
Partner with stakeholders to understand business challenges and propose scalable, incremental, and sustainable technical solutions.
Conduct proof-of-concepts and technology evaluations to identify the best tools and architectures for specific business needs.
Contribute to technical strategy, architectural decisions, and engineering standards across teams.
Promote data engineering best practices and serve as a technical mentor and reference for other professionals.

Extensive experience with Big Data technologies and concepts, including Spark, Hadoop, Hive, MapReduce, or similar platforms.
Strong programming skills in Python or another major programming language, with a focus on clean, maintainable, and scalable code.
Hands-on experience with technologies such as Airflow, Spark, AWS, and Databricks.
Strong knowledge of software engineering principles applied to data-intensive systems.
Experience with columnar storage solutions, data lakehouse architectures, and modern data platform design.
Advanced SQL skills, including query optimization and performance tuning.
Experience designing multidimensional data models, including Star Schema and Snowflake Schema approaches.
Understanding of data governance concepts such as lineage, privacy, retention, anonymization, and lifecycle management.
Knowledge of cloud infrastructure, containers, orchestration tools (Kubernetes, ECS), CI/CD practices, Infrastructure as Code (Terraform), and observability tools such as Prometheus and Grafana.
Proficiency in English, with the ability to work with technical documentation, tools, and engineering materials in English.
Strong communication skills, with the ability to translate business needs into scalable technical solutions.
Experience acting as a technical lead, project lead, or similar role.
Curiosity, attention to detail, adaptability, and ability to thrive in a fast-paced, data-driven environment.

Competitive salary package.
Profit-sharing program.
Meal allowance.
Health insurance.
Dental plan.
Life insurance.
Childcare subsidy and support for atypical parenthood.
Wellhub membership.
Home office allowance.
Employee assistance program covering mental health, social, legal, and financial support.
Extended parental leave.
Birthday, Mother's Day, and Father's Day days off.
Benefits club with discounts on everyday services.
Discounts at educational institutions.
Reading kit benefits for children.

Competitive salary package.
Profit-sharing program.
Meal allowance.
Health insurance.
Dental plan.
Life insurance.
Childcare subsidy and support for atypical parenthood.
Wellhub membership.
Home office allowance.
Employee assistance program covering mental health, social, legal, and financial support.
Extended parental leave.
Birthday, Mother's Day, and Father's Day days off.
Benefits club with discounts on everyday services.
Discounts at educational institutions.
Reading kit benefits for children.

This position is listed on behalf of a partner company, who manages all applications and next steps.

Staff Data Engineer