TELECOMMUTE DataOps Engineer

• Automate deployment (CI/CD), monitoring, and maintenance of data pipelines and services using modern DataOps practices.
• Develop and manage dashboards, metrics, and KPIs to monitor operational performance, job executions, and system reliability.
• Proactively identify, diagnose, and resolve data-related incidents and performance bottlenecks, ensuring minimal downtime and impact.
• Lead initiatives to adopt industry best practices in data integration, data security, performance optimization, and infrastructure as code.
• Work closely with data engineers, cloud infrastructure, and security teams, to provide technical guidance on architectural decisions and process improvements.
• Provide accurate task duration estimates, technical insights, and recommendations for future enhancements in data operations.

Job benefits:

• 26 days of holidays
• Remote work and flexibility
• Language classes & professional courses
• Health Insurance
• Possibility to increase your net salary through our flexible retribution partner!
• Free coffee/tea, fruits and snacks from the company
• Individual development plans

If you're passionate about tech, innovation, and want to thrive in an environment that values collaboration and diversity, this role might be the perfect fit for you!

• 5+ years of overall technical experience, including at least 3+ years with a proven track record in DataOps or data platform engineer.
• Proficiency in designing and deploying CI/CD pipelines for data workflows and infrastructure.
• Extensive experience in data integration, deployment, monitoring, and security.
• Deep understanding of cloud data engineering (preferably on Azure) and experience working with tools such as Databricks, Azure Data Lake, Azure Event Hub, Postgress, CosmosDB, Azure SQL.
• Experience with other cloud providers is also valuable.
• Expertise in Python (Pyspark) and SQL skills.
• Experience with orchestrators like Dagster/Airflow (nice to have).
• Familiarity with CDC, streaming solutions, and real-time data processing.
• Familiarity with machine learning tools is a plus (e.g., MLFlow, Kubeflow, etc) and data quality tools (e.g., dbt, soda, etc).
• Familiarity with monitoring tools and practices (e.g., Prometheus, Grafana) and logging tools (nice to have)

We're PayRetailers, and we're here to reimagine payments. With cutting-edge payment solutions, we empower businesses to grow in Latin America, one of the world's most dynamic markets. One API. 300+ local payment methods. Unlimited potential for merchants expanding into the region. In LatAm, every country is unique, combining bold innovation with deep local insights, we build tailored payment experiences that simply work. Behind our technology is a global team of 200+ professionals. We collaborate across borders in a diverse, inclusive environment where creativity thrives, and every contribution truly matters. If you're driven by impact, energized by fast-moving challenges, and ready to grow with a company shaping the future of payments, you'll love it here. We've got big plans to expand into new markets and make a meaningful impact on the world of payments.