Remote Software Engineer (Data Platform)

Description:

• Design, develop, and launch strategic data mining solutions using AI and analytical techniques at scale.
• Take ownership of the end-to-end software development lifecycle, including design, testing, deployment, and operations.
• Participate in technical discussions, strategy, design reviews, code reviews, and implementation.
• Develop highly scalable platforms for extracting, analyzing, and processing large amounts of contextual data in real-time and batch modes.
• Create large-scale knowledge graphs by linking information and datasets from multiple domains.
• Maintain high standards of technical rigor, build resilient and scalable systems, and drive operational and process improvements.

Requirements:

• Degree in mathematics/computer science or related discipline.
• 3+ years of experience in software development lifecycle, including design, coding, testing, deployments, and operations.
• Proficiency in at least one programming language, preferably Python or Java.
• Experience with distributed and big data technologies like MapReduce, Spark, Flink, Kafka, PySpark, NoSQL, etc.
• MS or PhD in Computer Science or equivalent experience.
• Experience with large-scale distributed systems, preferably on cloud platforms like AWS, Azure, Google Cloud.
• Familiarity with real-world large-scale datasets.
• Strong understanding and passion for statistical/mathematical modeling and data analysis.

Benefits:

• Autonomous and empowered work culture promoting ownership and rapid growth.
• Flat hierarchy with fast decision-making and a startup-oriented "get things done" culture.
• Positive environment with regular celebrations of success, fostering inclusivity, diversity, and authenticity.