Engenheiro de Dados Pl

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 Pl. based in Brazil.

You will join a dynamic and highly collaborative data environment, focused on building scalable and high-performance data solutions that power critical business decisions. The role involves designing, developing, and maintaining robust data pipelines across cloud-based architectures, ensuring data quality, availability, and reliability at scale. You will work closely with cross-functional teams to translate business needs into efficient data models and engineering solutions. The position requires strong hands-on experience with SQL, cloud services, and modern data engineering practices. You will also contribute to CI/CD automation, version control workflows, and continuous improvement of data platforms. This is an opportunity to work in a fast-paced fintech environment where data is at the core of innovation and business growth.

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Accountabilities:

• Develop, maintain, and evolve data engineering solutions, ensuring high standards of data quality, availability, and performance.
• Build and optimize data ingestion, transformation, and delivery pipelines across multiple data sources.
• Develop and maintain SQL-based routines and data processing logic within analytical and operational environments.
• Perform data modeling and implement best practices in architecture, coding standards, and scalable design.
• Manage version control processes using Git/GitHub, including branching, merging, and conflict resolution.
• Build and maintain CI/CD pipelines using Jenkins to automate deployments and data workflows.
• Work with AWS services, especially Amazon Redshift and Amazon S3, to support data platform operations.
• Participate in technical discussions, requirements analysis, and solution design aligned with business needs.
• Monitor, troubleshoot, and continuously improve data performance, reliability, and scalability.

Requirements:

• Experience in software development and strong programming logic skills.
• Knowledge of Linux environments and command-line operations.
• Hands-on experience with Git/GitHub and version control workflows.
• Intermediate SQL knowledge, including data modeling, stored procedures, and query optimization.
• Experience working with AWS, particularly Amazon Redshift and Amazon S3.
• Experience building and maintaining CI/CD pipelines using Jenkins.
• Understanding of software engineering best practices, including versioning and continuous integration.
• Ability to work collaboratively in multidisciplinary teams.

Nice to have:

• Advanced SQL knowledge, especially in Amazon Redshift.
• Experience with Redshift architecture (distribution styles, sort keys, WLM, performance tuning).
• Advanced AWS experience in scalable, secure, and efficient architectures.
• Experience with large-scale, high-availability data environments.
• Strong skills in query and data pipeline performance optimization.
• Knowledge of DataOps practices and data automation frameworks.

Benefits:

• Hybrid work model (1x per week onsite in Faria Lima for São Paulo-based professionals).
• Remote-first model for professionals located more than 90 km from the office.
• Meal or food allowance.
• Health and dental insurance.
• Life insurance coverage.
• Partnerships with fitness and mental well-being platforms (TotalPass and Zenklub).
• Extended maternity and paternity leave.
• Childcare assistance.
• Discounts of up to 50% on MBA and postgraduate programs (FIA, FAAP, PUCRS and others).
• Flexible dress code.
• Birthday day off.
• Newborn baby gift.

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