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We are looking for a Mid Python Software Developer to work with one of our clients: a global commerce platform that simplifies the business, whose the main goal is to help business move forward by stripping away the complexities that hold it back.

Want to know more? Below you will find some details about the position:

About The The Role

We are seeking a highly motivated Software Engineer to join our Client s Data team and make a significant impact on the business. Your mission will be building big data technologies, platforms, systems, and tools that clean, process, enrich, and optimize core company data, making it easy and efficient to use.

Responsibilities

Collaborate with partners and stakeholders to understand customer business needs and key challenges.
Design, test, code, and implement data products, systems, platforms, and pipelines of small to medium complexity.
Use data effectively to measure, inspect, and drive informed decisions.
Develop and maintain CI/CD automation using tools like GitHub Actions.
Implement Infrastructure as Code (IaC) with tools like Terraform, managing and provisioning cloud-based data infrastructure.
Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), and work with Microservice and event-driven architectures.
Support live data products, systems, and pipelines, ensuring proactive monitoring, data quality, rapid incident response, and continuous improvement.
Analyze data, existing systems, and processes to identify bottlenecks and improvement opportunities.
Mentor and learn from peers, fostering continuous learning of new technologies within the team and organization.
Understand and apply team processes and best practices to assigned tasks. Ensure your solutions effectively address customer and business problems in a reliable and sustainable way.
Collaborate with team members on development and problem-solving initiatives.
Independently complete tasks of small to medium complexity and seek feedback from senior engineers to ensure high quality.
Participate in technical discussions, proactively review peer work, and continuously learn.
Build reliable, secure, efficient, and scalable big data platforms and tools that support data ingestion, processing, serving, delivery, and data governance needs.
Learn and build systems, platforms, and tools for end-to-end data lifecycle management, including ingestion, cleaning, processing, enrichment, optimization, and serving.
Build and maintain data quality measurement and monitoring systems, metadata management, and Master Data Management (MDM) solutions.
Effectively use big data technologies, tools, and software packages while ensuring seamless integrations.
Learn and apply data modeling techniques to design and implement efficient and user-friendly data models and structures.

Requirements

Advanced/Fluent English proficiency is mandatory - you will be in touch with USA team on a daily basis
Living em Brasil is mandatory
Bachelor s degree in Computer Science, Software Engineering, or a related field

How Youll Make An Impact

Strong problem-solving, communication, and collaboration skills.
Self-motivated and eager to learn, continuously exploring new technologies to improve productivity and the quality of deliverables. For example, proactively exploring GenAI technologies to enhance work efficiency and quality, as well as building innovative products for customers.
Ability to design solutions for medium-scale problems or components.
Experience with and a solid understanding of CI/CD automation.
Strong programming skills in Python, including coding, automated testing, performance measurement, and monitoring. Familiarity with the TDD approach.
Passionate about data, big data technologies, and cloud technologies.
A keen interest in understanding and solving customer and business problems.
Some understanding of data ingestion, cleaning, processing, enrichment, serving, and quality assurance techniques and tools, such as SQL, relational algebra, database systems, and ELT processes.
Knowledge of data warehousing concepts and dimensional modeling is a plus

Preferred Qualifications

Experience in building data pipelines with cloud-native ingestion, orchestration, and transformation applications, leveraging tools and services like Airflow, DBT, AWS glue , Kafka, AWS kinesis etc
Solid understanding of Scrum principles and practices.
Strong knowledge of Agile frameworks such as SAFe, LeSS, or Disciplined Agile Delivery (DAD), with the ability to coach team members and promote Agile best practices.

This Process Will Be Conducted Considering The Following Steps

Application evaluation;
Conversation with QiBit;
Interview with the client
Client s technical interview;
Live Coding
Final Interview
Hiring
The steps mentioned above may change according to the progress of the selection process. But dont worry, we will always keep you updated :)

Do you believe this challenge is for you? Click on Apply for the job, we are already waiting for you!

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