Engenheiro de Dados Pleno

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engenheiro de Dados Pleno in Brazil.

You will join a highly innovative, global technology environment focused on building scalable, high-performance data solutions that power analytics, machine learning, and business intelligence initiatives. In this role, you will work on designing and maintaining robust data pipelines, enabling the ingestion, processing, and availability of large and complex datasets. You will collaborate closely with analytics and data science teams to transform raw data into meaningful insights that support strategic decisions. The environment is strongly oriented toward cloud, Big Data, and distributed systems, with exposure to modern data engineering practices. You will be part of a multicultural and innovation-driven organization that values continuous learning and technical excellence. This is an opportunity to work on impactful projects leveraging cutting-edge technologies in a global ecosystem.

Accountabilities:

• Design, build, and maintain scalable and reliable data pipelines covering ingestion, processing, integration, storage, and data delivery.
• Work with large-scale distributed data processing systems to handle high-volume and heterogeneous data sources.
• Develop data processing solutions using Python and PySpark in Big Data environments.
• Implement and maintain ETL/ELT processes ensuring data quality, consistency, and performance.
• Design and optimize relational and dimensional data models for Data Warehousing solutions.
• Work with SQL databases, ensuring efficient querying and data management.
• Operate and support Big Data AWS ecosystem tools such as Amazon EMR, Amazon Kinesis, Amazon Redshift, Amazon S3, AWS Glue, and search/log analytics tools like Elasticsearch.
• Work with event-driven architectures using Apache Kafka for real-time data processing.
• Contribute to Data Lake and DataOps practices to improve automation, reliability, and scalability.
• Collaborate with data analysts, data scientists, and engineering teams to deliver data-driven solutions.
• Participate in system design discussions for distributed and MPP (Massively Parallel Processing) architectures.
• Ensure best practices in data engineering, including testing, monitoring, and documentation.

Requirements:

• Solid experience in data ingestion, processing, integration, and storage of large-scale datasets.
• Proven experience in Big Data projects and distributed data processing environments.
• Strong knowledge of Python for data extraction and manipulation, including PySpark.
• Experience with ETL/ELT tools and pipelines.
• Knowledge of relational and dimensional data modeling (Data Warehouse concepts).
• Strong SQL skills for data querying and optimization.
• Hands-on experience with AWS Big Data ecosystem tools such as Amazon EMR, Amazon Kinesis, Amazon Redshift, Amazon S3, and AWS Glue.
• Knowledge of Apache Kafka and data streaming architectures.
• Understanding of Data Lake and DataOps principles.
• Experience with Behavior Driven Development (BDD) methodologies.
• Bachelor’s degree in a relevant field (preferred).
• Strong analytical mindset, problem-solving ability, and attention to data quality.

Nice to have:

• AWS certifications.
• Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience working in cloud-native and distributed systems environments.

Benefits:

• Flexible benefits card (Swile) for meal and food allowances.
• Health and wellness support including Gympass/TotalPass.
• Mental health support via Psicologia Viva.
• Comprehensive health insurance (Bradesco).
• Dental insurance (Bradesco).
• Profit sharing program (PLR).
• Childcare assistance for eligible employees.
• Certification and professional development incentives.
• Technical talks, webinars, and continuous learning programs.
• Referral bonus program.
• Life insurance coverage.
• Language learning support (English or Italian subsidies and discounts).
• Birthday gift benefit.
• International mobility opportunities depending on role and business needs.
• University partnership discounts and learning benefits.

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. #LI-CL1