Senior Software Engineer (Java,Node.js) at Zartis

<div> <h3>The company and our mission:&nbsp;</h3> <p>Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.</p> <p>Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.</p> <p>With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.</p> <p>We are looking for a <strong>Senior Data Engineer</strong> to work on a project in the <strong>fintech industry.</strong></p> <h3>The project:</h3> <p>Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.</p> <p>You will be part of a distributed team developing innovative financial process automation solutions that increase productivity, reduce costs, and ensure organizations meet compliance obligations.</p> <p>We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail.&nbsp;</p> <h3>What you will do:</h3> <ul> <li style="list-style-type: revert;"> <p>Design and maintain data pipelines and ETL/ELT workflows, including batch extraction, transformation, and loading into analytics-ready data stores</p> </li> <li style="list-style-type: revert;"> <p>Build and operate event-driven, serverless data processing systems using AWS services such as S3, EventBridge, Lambda, and Athena</p> </li> <li style="list-style-type: revert;"> <p>Develop Python-based data processing components for parsing and transforming data within Lambda environments</p> </li> <li style="list-style-type: revert;"> <p>Write and optimize SQL queries for data validation and analysis using Athena</p> </li> <li style="list-style-type: revert;"> <p>Create and maintain embedded analytics dashboards for customer-facing reporting using AWS QuickSight</p> </li> <li style="list-style-type: revert;"> <p>Provision and manage data infrastructure using Terraform, ensuring consistent deployments across environments</p> </li> <li style="list-style-type: revert;"> <p>Implement CI/CD pipelines and monitoring/alerting for reliable data platform operations</p> </li> <li style="list-style-type: revert;"> <p>Extend and improve existing pipeline frameworks while working within legacy systems</p> </li> </ul> <h3>What you will bring:</h3> <ul> <li style="list-style-type: revert;"> <p>5+ years of experience building and maintaining data pipelines and ETL/ELT systems</p> </li> <li style="list-style-type: revert;"> <p>Strong hands-on experience with AWS data services (S3, EventBridge, Athena, Lambda) and serverless architectures</p> </li> <li style="list-style-type: revert;"> <p>Proficiency in Python for data transformation and pipeline development</p> </li> <li style="list-style-type: revert;"> <p>Advanced SQL skills for querying and validating large datasets</p> </li> <li style="list-style-type: revert;"> <p>Experience working with analytics-ready data stores and end-to-end pipeline delivery</p> </li> <li style="list-style-type: revert;"> <p>Ability to troubleshoot and optimize cloud-native data pipelines</p> </li> <li style="list-style-type: revert;"> <p>Experience working with infrastructure as code (Terraform) and multi-environment deployments</p> </li> <li style="list-style-type: revert;"> <p>Familiarity with CI/CD practices for data infrastructure</p> </li> </ul> <h3>Nice to have:</h3> <ul> <li style="list-style-type: revert;"> <p>Experience with AWS QuickSight, including embedded dashboards and QuickSight Q</p> </li> <li style="list-style-type: revert;"> <p>Knowledge of Java for upstream data extraction layers</p> </li> <li style="list-style-type: revert;"> <p>Experience supporting customer-facing analytics solutions</p> </li> <li style="list-style-type: revert;"> <p>Familiarity with monitoring, alerting, and observability best practices</p> </li> </ul> <h3>What we offer:&nbsp;</h3> <ul> <li style="list-style-type: revert;"> <p><strong>100%</strong> <strong>Remote Work</strong></p> </li> <li style="list-style-type: revert;"> <p><strong>WFH allowance:</strong> Monthly payment as financial support for remote working.</p> </li> <li style="list-style-type: revert;"> <p><strong>Career Growth:</strong> We have established a career development program accessible for all employees with 360º feedback that will help us to guide you in your career progression.</p> </li> <li style="list-style-type: revert;"> <p><strong>Training:</strong> For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.</p> </li> <li style="list-style-type: revert;"> <p><strong>Mentoring Program:</strong> You can become a mentor in Zartis or you can receive mentorship, or both.</p> </li> <li style="list-style-type: revert;"> <p><strong>Zartis Wellbeing Hub (Kara Connect)</strong>: A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.</p> </li> <li style="list-style-type: revert;"> <p><strong>Multicultural working environment: </strong>We organize tech events, webinars, parties, and activities to do online team-building games and contests.</p> </li> </ul> </div>