Responsibilities

• Design and implement data solutions that support the AI-native software platform.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Develop and maintain scalable data pipelines and architectures to process vast amounts of data efficiently.
• Utilize machine learning techniques to generate insights and optimize the platform's performance.
• Conduct data analysis to identify trends and opportunities for improvement in the aftermarket services.
• Ensure data quality, integrity, and security across all data systems.
• Mentor junior data engineers and provide guidance on best practices in data engineering and analytics.
• Stay updated with the latest technologies and trends in data engineering and AI.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, with a focus on building robust data solutions.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or similar frameworks.
• Strong knowledge of SQL and NoSQL databases.
• Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with machine learning concepts and tools.
• Excellent analytical skills and attention to detail.
• Strong communication and teamwork abilities.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work options.
• Opportunities for professional growth and development.
• Access to cutting-edge technologies and tools.
• Collaborative and inclusive work environment.
• Health and wellness benefits.
• Paid time off and holiday leave.
• Engagement in exciting projects that shape the future of technology.