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As a Data Analytics Software Engineer, you will be part of a compact, multidisciplinary team that operates in close collaboration. This role involves direct and ongoing engagement with business stakeholders, product managers, and designers, emphasizing rapid and frequent deployment. Skills Required: Advanced Software Engineering Expertise: Profound knowledge and application of Object-Oriented Design principles. Python/PySpark Development Proficiency: Demonstrated capability in developing Python/PySpark applications from conceptualization to deployment. Familiarity with Google Cloud Technologies: Solid understanding of Google Cloud solutions, including DataProc, BigQuery, Cloud Run, and Astronomer. Big Data & Analytics Acumen: Robust grasp of Big Data and Analytics, including the ability to navigate and address the challenges unique to these fields. Continuous Learning: Strong inclination towards acquiring new skills and leveraging them to address business challenges and seize opportunities. Skills Preferred: Demonstrated ability to architect a solution from design to delivery. Demonstrated ability to coach and mentor peers in day-to-day interactions. Experience Required: Overall 6 years of work experience in delivering customer-facing products. Minimum 2 years of strong development experience in at least one of the following technologies: Python (preferred) and/or Java on a Public Cloud Platform. Experience Preferred: Experience developing software for an Automotive/Manufacturing company. Experience working in a large multi-national company with many diverse stakeholders and potentially competing objectives. Education Required: A Bachelors degree in Computer Science or a similar technical discipline. Education Preferred: EEO Employer #J-18808-Ljbffr