Big Data Engineer

Description

Job Summary: We are seeking Big Data and NoSQL professionals with Python, PySpark, and DevOps knowledge to join an international and distributed team that values integrity and ethics. Key Highlights: 1. Continuous career growth and structured career development. 2. Team-oriented environment with events that foster closeness. 3. Support for personal and family life, plus a language-learning platform. **What We Are Looking For?** At Aubay, we seek professionals who combine solid technical skills with the right attitude: * At least 4 years of professional experience in Big Data and NoSQL technologies, including Hadoop, HDFS, Hive, Kerberos, and Starburst. * Strong proficiency in Python and PySpark, coupled with solid knowledge of Data Modeling principles and SQL. * Familiarity with DevOps concepts, Source Code Management (Git), and CI/CD tools such as Jenkins, XL Deploy, and XL Release. * Good command of English (minimum B2 level) and proven experience with Agile methodologies such as Scrum/Kanban. * Analytical mindset, strong communication skills, and ability to work autonomously within an international and distributed team. * We value individuals who identify with our culture and act with integrity and ethics. * We prioritize customer orientation, teamwork, task prioritization, and daily commitment. **What Do We Offer You?** At Aubay, we invest in your development and well-being: * Continuous growth through our Training Academy, offering technical and behavioral training, mentoring, technology communities, workshops, and in-person tech meetups; * Close mentoring with regular feedback sessions and a structured career progression model; * Comprehensive health insurance, including dental coverage, plus access to a mental health platform and well-being initiatives; * A team-oriented environment with events and initiatives that foster closeness and team spirit; * Support for your personal and family life—from your children's birth through their educational journey; * Access to a language-learning platform offering conversation classes in multiple languages; * Flexible work model aligned with the project: hybrid (2–3 days per week at our Porto office).