South Geeks

Architect

• Design, develop, and maintain ETL/ELT pipelines in Databricks for clean, reliable data processing.
• Build Power BI dashboards for executive audiences, translating strategy into clear visual insights.
• Collaborate with analysts, stakeholders, and leadership to understand requirements and deliver actionable solutions.
• Develop real-time or frequent-refresh data processes that support timely decision-making.
• Optimize and maintain existing dashboards and pipelines for performance, accuracy, and usability.
• Implement automated reporting workflows, including refresh scheduling, monitoring, and reliability.
• Support and maintain cloud data infrastructure (storage, compute, data models) with a focus on scalability, governance, and security.
• Serve as a bridge between business/leadership and technical teams, translating business needs into platform capabilities and translating technical possibilities back into business value.
• Establish and champion foundational data/BI practices, including data modeling, metadata, documentation, and pipeline design, as the first technical hire in this area.

Databricks Architect

Frontend Engineer

• Build and ship accessible, responsive user interfaces using React and TypeScript.
• Develop pixel-perfect components and pages based on Figma designs, including all UI states (loading, empty, errors).
• Integrate with REST and GraphQL APIs; manage data fetching with React Query or similar tools.
• Contribute to and maintain the design system, including components, design tokens, and documentation.
• Ensure strong performance and accessibility across browsers and devices.
• Write unit and E2E tests, participate in code reviews, and uphold frontend best practices.
• Collaborate with product managers, designers, and backend engineers to deliver high-quality, user-centric features.

Senior Front End Engineer

Data Engineer

• Design and implement data integration solutions between a React/Java application and the Monday.com platform.
• Architect bidirectional data synchronization to ensure consistency across systems.
• Develop and maintain ETL pipelines that support seamless data flow and automation.
• Optimize database performance and ensure data integrity throughout all connected systems.
• Collaborate with development teams to understand data requirements and deliver scalable solutions.
• Evaluate and recommend suitable ETL tools or technologies based on project needs.
• Troubleshoot and resolve integration or data flow issues.
• Create and maintain technical documentation, including data flow diagrams and integration architecture.

Senior Data Engineer – Monday.com Integrations

DevOps Engineer

• Design, build, and maintain secure, scalable infrastructure in Azure and GCP.
• Lead migrations, hybrid solutions, and cost optimization initiatives.
• Implement Infrastructure as Code (Terraform, Bicep, Pulumi).
• Develop and improve CI/CD pipelines (Azure DevOps, GitHub Actions, Cloud Build).
• Automate provisioning, scaling, and configuration management.
• Reduce manual work with scripting (Bash, PowerShell, Python).
• Implement centralized monitoring and alerting (Azure Monitor, Stackdriver, Prometheus, Grafana).
• Define and monitor SLOs, SLIs, and SLAs for reliability.
• Lead incident response and postmortems.
• Apply cloud security best practices (IAM, secrets, network security, vulnerability scanning).
• Partner with compliance teams on SOC2 requirements.
• Integrate “shift-left” security into infrastructure and pipelines.
• Partner with development, QA, and product teams.
• Mentor junior DevOps engineers and foster knowledge-sharing.
• Evaluate emerging tools and practices for continuous improvement.

Senior DevOps Engineer

SDET

• Collaborate with product and engineering teams to understand requirements and risks.
• Develop test plans and cases covering functional, regression, integration, and performance.
• Perform manual testing for exploratory and edge-case scenarios.
• Design, implement, and maintain automated test suites (UI, API, regression).
• Integrate automated tests into CI/CD pipelines for continuous feedback.
• Track, prioritize, and report defects; work with developers to debug and verify fixes.
• Provide transparent reporting on test coverage and quality metrics.
• Participate in design reviews and suggest process improvements to prevent defects.

QA Automation Engineer

• Serve as the technical reference for DevOps best practices
• Manage infrastructure across AWS, Azure, and GCP environments
• Drive and maintain SOC2 compliance for sensitive data projects
• Monitor and optimize infrastructure to ensure scalability and reliability
• Participate in on-call rotations and handle alert management
• Collaborate cross-functionally with engineering and security teams
• Support complex environments requiring resilience and security

DevOps Lead

Engineer

• 3-month project focused on developing three AI-powered agents: sales, market research, and market surveillance
• Design and build AI agents using n8n with custom Python/Node.js scripts
• Develop agents triggered on intervals or events (no frontend UI required)
• Implement and manage API integrations to support agent functionality
• Leverage OpenAI SDK/API for intelligent automation
• Deliver agents in sequence: sales → market surveillance → research analyst
• Ensure each workflow is modular, reliable, and well-documented
• Collaborate closely with stakeholders to align on requirements and deliverables

No-code Engineer

Backend Engineer

• Design, build, and maintain scalable applications across backend and frontend systems.
• Develop and maintain scalable applications using Java and Scala.
• Deliver feature enhancements and bug fixes across the stack.
• Design and develop backend services and controllers.
• Manage PostgreSQL databases and perform SQL operations.
• Handle event file changes and data flow management.
• Develop and integrate web services.
• Implement UI changes using Angular or React and JavaScript.
• Collaborate across teams to deliver end-to-end solutions.

Full-Stack Engineer, Java, JavaScript

Hi there :)
Thanks for checking in to find out about our open position. We´ll provide as much information as possible, but please feel free to reach us if you have further questions. We´ll be happy to see your application, even if there are skills you don't quite master!
About Us: At South Geeks, we engage top-performing Software Engineers, Security Experts, and Data Analysts from Latin America to join our clients’ teams worldwide. For over 8 years, we’ve been helping future-shaping companies scale faster by curating world-class tech talent and building long-lasting, strategic partnerships. We pride ourselves on a people-centered culture that powers innovation, collaboration, and excellence.
About the Client: Our client is a global technology company that relies on modern data infrastructure to power business intelligence, financial operations, and customer-facing applications at scale. Their teams are leveraging the latest data tools to streamline workflows, improve operational efficiency, and deliver insights that directly drive business growth. To support these goals, they are seeking a DBT Developer with experience in Hightouch to strengthen their data pipelines and reverse ETL workflows.
About the Role: We are looking for a skilled and proactive DBT Developer with Hightouch expertise to join the data engineering team. In this role, you’ll design and maintain scalable data transformation pipelines, build reverse ETL syncs to operational systems, and ensure data models are optimized for performance and reliability. You’ll collaborate closely with engineers, analysts, and stakeholders to deliver data solutions that meet business needs and enable timely, data-driven decisions.
Key Responsibilities: Data Pipeline Development & Management: Design, build, and maintain scalable ELT/ETL pipelines using DBT, optimizing for performance and reliability.
Data Integration & Sync Management: Implement and manage Hightouch syncs to deliver data from warehouse to business tools (e.g., NetSuite, Tableau), monitoring reliability and resolving issues proactively.
Data Modeling & SQL Optimization: Develop and optimize SQL queries, schemas, and models to support reporting and analytics while ensuring consistency and maintainability.
System Monitoring & Troubleshooting: Configure monitoring and alerting systems, troubleshoot replication or performance issues, and recommend system enhancements.
Stakeholder Collaboration: Partner with cross-functional teams to gather requirements, estimate development efforts, and deliver accurate and timely data solutions.
Documentation & Best Practices: Maintain technical documentation (data flow diagrams, dictionaries, process docs) to support transparency and knowledge sharing.
What You Need to Succeed in This Role: 5+ years of experience in data engineering, analytics, or related fields.
Strong SQL expertise with ability to write complex, multi-layer transformations.
Hands-on experience with DBT (Cloud or Core).
Mandatory experience with Hightouch for reverse ETL workflows.
Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift).
Strong understanding of data modeling concepts (star schema, normalization).
Working knowledge of Python (other programming languages a plus).
Excellent problem-solving, communication, and collaboration skills.
Our Team: We strive to create an inspiring and growth-oriented environment where everyone feels valued, heard, and empowered. We promote both personal and professional development, with individualized support for your needs and concerns. We aim to build a space where everyone can thrive.
What We Offer: Long-term projects
100% remote work
Payment in USD
Paid Time Off (PTO)
Work from Home (WFH) & Training reimbursement
English lessons
Technical training
Career coaching
This position is available for candidates based in LATAM.