Senior AWS Data Solutions Engineer

View full description

Requirements:

• 5+ years of experience in architecting, designing, developing, and implementing cloud solutions on AWS platforms.
• Experience in database architecture, ETL BI, big data machine learning & advanced analytics strategic thinking.
• Understanding of data storage best practices, such as data partitioning and compression, to improve performance and reduce costs.
• Strong communication, adaptability & leadership skills to bridge knowledge gaps across teams embracing change, experimentation while driving technology transformation.
• AWS certification.

Responsibilities:

• Build a data lake on AWS, for storing raw, structured, and unstructured data in a scalable and durable way.
• Design and implement scalable, secure, and cost-effective cloud solutions using AWS services.
• Implement AWS IAM and AWS Lake Formation to manage access, permissions, and data encryption.
• Develop and implement technical efforts to design, build, and deploy AWS applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics.
• Create a data catalog, making it easier to search and query data stored in S3.
• Ensure data integrity and security with IAM roles, adhering to AWS security best practices.
• Optimize application performance by leveraging AWS services and tools.
• Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures.
• Foster collaboration across teams ensuring strategic vision is executed effectively.
• Work closely with engineers to develop necessary infrastructure for scaling GenAI applications.
• Focus on delivering tangible value by understanding end-user needs impacted by technology + ethical decision-making with responsible AI practices.