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Salary
$31k – $76k per year (Estimated)
Location
Remote (Brazil)
Seniority
Middle
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is an AI-powered job platform focused on remote and flexible work. It matches candidates with relevant roles using skills and preference-based algorithms, and also offers career coaching and job-search guidance.

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

This is a strategic opportunity for a data professional to help shape and evolve a modern, scalable data environment.

You will contribute to cloud data architecture, robust pipelines, governance, and data quality initiatives.

A key focus will be integrating information from multiple channels and systems to create a unified view of customers and operations.

The role combines hands-on technical execution with architectural decision-making and continuous improvement.

You will work closely with both technical teams and business stakeholders to turn complex challenges into sustainable data solutions.

The environment values autonomy, innovation, knowledge sharing, and strong technical influence.

This is an opportunity to make a meaningful impact on how data supports strategic and omnichannel decision-making.

Accountabilities

    • Lead the design and evolution of cloud-based data architecture, ensuring scalability, performance, reliability, and governance.
    • Design and implement robust, resilient, and efficient data pipelines, establishing technical standards for modeling, ingestion, orchestration, and data quality.
    • Serve as a technical reference for the team, supporting the development of more junior professionals and contributing to key architecture and technology decisions.
    • Lead complex data integration initiatives involving ERP, e-commerce, CRM, franchises, and other business systems.
    • Ensure data consistency, quality, traceability, and reliability throughout the entire data lifecycle.
    • Partner closely with business stakeholders to translate strategic challenges into practical, scalable data solutions.
    • Advance DataOps, CI/CD, automation, and pipeline observability practices while supporting the continuous evolution of the existing environment.
    • Optimize data infrastructure costs and performance and contribute to the development of an omnichannel data vision and semantic data layer.
    • Support automation initiatives involving ETL processes, validations, integrations, RPA, and legacy systems.
    • Requirements

      • Solid experience in data analysis and data engineering within large-scale or complex environments.
      • Strong hands-on experience with AWS cloud services, particularly S3, Redshift, Glue, or similar technologies.
      • Advanced experience with data orchestration tools such as Kestra, Airflow, or equivalent platforms.
      • Advanced SQL skills, including query optimization, data modeling, complex queries, and procedures.
      • Advanced Python skills applied to data engineering, automation, integrations, and scripting.
      • Practical experience developing ETL processes, data validations, system integrations, and automated workflows.
      • Experience with RPA or process automation using tools such as Selenium, scripts, or integrations with legacy systems.
      • Experience with analytical data modeling, including Data Warehouse and Data Lake architectures.
      • Experience integrating multiple data sources and complex systems, as well as familiarity with BI tools and data consumption requirements.
      • Experience delivering end-to-end data projects spanning architecture, development, deployment, and ongoing support.
      • Strong communication skills and the ability to influence both technical teams and business stakeholders.
      • Nice-to-have experience with Redshift, semantic layers, data governance, DataOps, CI/CD, event-driven architectures such as SNS/SQS, omnichannel initiatives, cloud cost optimization, and Git-based software engineering practices.
      • Higher education in a relevant technology, data, engineering, or related field is advantageous.
      • Benefits

        • 100% remote work model.
        • Flexible and collaborative working environment with space to contribute ideas and expertise.
        • Vale-transporte.
        • Vale-refeição/alimentação.
        • Medical and dental assistance.
        • Pharmacy benefit.
        • Pet benefit.
        • Gym benefit through Wellhub.
        • Birthday Day Off.
        • Discounts through Wine Locals, Creditas, and partner product programs.
        • Monthly All Hands sessions with senior leadership.
        • Opportunities to collaborate across teams and contribute directly to strategic initiatives.
        • Inclusive environment with opportunities for people with disabilities and professionals from diverse backgrounds.
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