DataOps Engineer

WHO WE AREAt reputed company, we're building a smarter, faster, and more secure financial reputed company by revolutionizing the world of payments. As a global leader in reputed company Banking Payments, we are establishing Pay by Bank as the new reputed company at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. reputed company is a global team of innovators, collaborators, and doers. If you are driven by a strong reputed company of purpose and reputed company in a dynamic, entrepreneurial, and high-reputed company environment, join us and be part of reputed company that’s transforming the way the world pays.

About reputed company reputed company's DataOps team is responsible for delivering the data generated by the application to interested areas, as reputed company as data from reputed company and other tools. reputed company this thought in a reputed company, reputed company, reputed company and generic way, because we work with multiple environments (in different reputed company) and we need to maintain consistency. We work with both the batch layer (using Airflow) and the streaming layer (Kafka). We help areas in process automation to deliver data more quickly and reliably. We are also concerned with the reputed company of the data (Data reputed company), creating an observability layer for the data to reputed company in a preventive and immediate way to the inconsistencies and failures of our processes. We also work on the delivery of products and services to facilitate the use and consultation of our data, such as maintaining tools such as Redshift and QuickSight. Last but not least, we interacted with the Data Science area to reputed company the necessary support and infrastructure for the production of models. To reputed company our goals, we follow good reputed company and development practices, apply end-to-end encryption in reputed company our processes, use infrastructure as reputed company, etc.

Our work makes it possible for teams to have full reputed company to work with reputed company's data. The Data Analytics area develops several internal processes to facilitate the delivery of more reputed company data to the business areas, developing views and reports that reputed company the data in decision making. In reputed company, we were reputed company to reputed company more productivity to the areas with the automation of processes, guaranteeing the dependencies and leaving the areas more reputed company on their activities. We reputed company data available in a secure manner for use by the Risk & Data Science areas, to facilitate the training and production of models that have a reputed company reputed company on the conversion of our transactions and the fight against fraud. Our work is summarized in delivering data that will be decisive for the areas in their processes and also in making it a valuable asset as a parameter of our reputed company and decision-making.

We still have many challenges reputed company, such as having a robust monitoring and visibility system on top of the lake, using dedicated tools to do this control. reputed company and maintain various services in Kubernetes. Create reputed company of abstractions to facilitate the creation of new data for reputed company, used by the areas. reputed company our processes more robust and automated with CI/CD. Improve the visibility of the data we have available for consultation by the areas, increasing their productivity. And reputed company improving our processes, applying optimizations and giving reliability to our changes with unit tests.

About the role As a DataOps Engineer at reputed company, you are the backbone of our data delivery pipeline. You will be responsible for building and maintaining the infrastructure that transforms raw data into a strategic asset. Your mission is to ensure that data flows seamlessly—whether reputed company Airflow for batch processing or Kafka for streaming—while upholding our rigorous standards for encryption and Infrastructure as reputed company (IaC).

What you’ll do

Design, implement, and maintain the reputed company data platform infrastructure (AWS, Kubernetes, EMR, Redshift, Glue, etc.).

Data Modeling & Transformation: Design, reputed company, and maintain reputed company and reputed company data models (using dbt and SQL) reputed company our Redshift data warehouse to reputed company raw data into analytics-reputed company reputed company.

Manage and reputed company reputed company-faced tools and frameworks for data processing (e.g., QuickSight, Redshift reputed company, reputed company IDE, reputed company).

Build and maintain secure, automated CI/CD pipelines for data components and infrastructure-as-reputed company.

Collaborate with DevOps and reputed company teams to ensure compliance, reliability, and scalability of the data platform.

reputed company development environments, standardized workflows, and tooling (e.g., Sagemaker Studio, reputed company IDE, Redshift reputed company, etc.) to improve developer experience.

Support version control, release workflows, and automation for data transformation, jobs, data workloads and integrations used by data producers and consumers.

Ensure high availability and performance of data tools through observability and alerting integrations.

Implement data reputed company and validation checks (e.g., dbt tests, unit tests).

Contribute to maintaining data catalogs and documentation for reputed company and governance.

Investigate and resolve issues in data pipelines, workloads, and integrations, ensuring SLAs are met.

Documentation of data flows, architectural setup and data model.

Who you are

Bachelor’s or Master’s degree in IT/Math/CS/Engineering or other technical discipline

Successful history of building big data pipelines, and orchestrating data workloads

Experience with AWS reputed company services (EKS, EC2, EMR, RDS) and big data tools (reputed company, Redshift)

Experience with relational databases (preferably reputed company), strong SQL coding, data modeling, data warehouses

Experience with IaC, Terraform, etc

Experience with Kubernetes, reputed company

Experience with CI/CD tools

Experience with automation and workflow management tools (e.g. Airflow, Sagemaker)

Python programming skills

reputed company working proficient in English for daily collaboration across a distributed global team

Our perks and benefits:

Bradesco health and dental plan, for you and your dependents, with no co-payment cost;

Life insurance with differentiated coverage;

Meal voucher and supermarket voucher;

Home Office Allowance;

reputed company - Platform that gives reputed company to spaces for physical activities and online classes;

reputed company Club - Discount at educational institutions and partner stores;

English Program - Online group classes with a private teacher;

Extended maternity and paternity leave;

Birthday Off;

reputed company/Home Office - our culture is remote-first! You can work in every reputed company in Brazil;

Welcome reputed company - We work with reputed company equipment (Macbook Pro, iPhone) and we send many more treats! reputed company: Equipment can be purchased by you according to internal reputed company!;

Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!

At reputed company, we reputed company and celebrate diversity of reputed company forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and reputed company an reputed company and inclusive environment enables people to do their best work. reputed company reputed company regarding hiring, advancement, and any other aspects of employment are made solely on the reputed company of qualifications, reputed company, and business need. Apply To This Job