Aerospace Analytics Architect

Join PT Skyward Innovations, a pioneer in aerospace technology, as an Aerospace Analytics Architect in the vibrant region of Bangka Belitung. You will lead the design and implementation of cutting-edge data architectures to revolutionize aerospace operations. Our company is at the forefront of innovation, developing advanced solutions for the aerospace industry, and we are looking for a talented individual to help us shape the future of data-driven aerospace.

As an Aerospace Analytics Architect, you will work closely with cross-functional teams to develop and maintain data solutions that support our mission to enhance safety, efficiency, and sustainability in aviation. This role offers a unique opportunity to work with the latest technologies and tools, including Apache Spark, Hadoop, and Tableau, in a dynamic and fast-paced environment.

PT Skyward Innovations is committed to fostering a culture of excellence and continuous learning. We provide our employees with the resources and support they need to grow professionally and personally. Join us and be part of a team that is shaping the future of aerospace technology.

📋 Tanggung Jawab Pekerjaan

• Design and implement scalable data architectures for aerospace applications.
• Develop and maintain data pipelines using Apache Spark and Hadoop.
• Create and optimize data models to support analytics and machine learning.
• Collaborate with cross-functional teams to integrate data solutions into aerospace operations.
• Ensure data quality and integrity through robust data governance practices.
• Provide technical leadership and mentorship to junior team members.
• Stay updated with the latest trends and technologies in data analytics.
• Present findings and recommendations to stakeholders and senior management.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data architecture and analytics.
• Proven expertise in Apache Spark, Hadoop, and other big data technologies.
• Strong knowledge of SQL and NoSQL databases.
• Experience with data visualization tools such as Tableau or Power BI.
• Certifications in data analytics or related fields are a plus.
• Excellent communication and leadership skills.
• Proficiency in English, both written and spoken.

🛠️ Keahlian

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