AWS Data Analytics Lead

Must Have Skills:
⦁ AWS Glue
⦁ Kafka
⦁ Step Functions
⦁ Lambda
⦁ Terraform

Nice to Have Skills:
⦁ .NET

Key Responsibilities:
 

• Design and implement Generative AI models for text, image, or multimodal applications.
• Develop prompt engineering strategies and embedding-based retrieval systems.
• Integrate Gen AI capabilities into web applications and enterprise workflows.
• Build agentic AI applications with context engineering and MCP tools.

Required Skills & Qualifications:

• Architect and implement data pipelines using AWS Glue for ETL processes.
• Design event-driven workflows using AWS Lambda and Step Functions.
• Ensure high availability, scalability, and performance of data solutions.
• Develop and maintain infrastructure using Terraform for AWS resources.
• Implement CI/CD pipelines for automated deployments.
• Optimize data ingestion, transformation, and storage strategies.
• Ensure data quality, governance, and compliance with security standards.
• Lead and mentor a team of data engineers.
• Collaborate with cross-functional teams including Data Scientists, Architects, and DevOps.
• Implement monitoring and alerting for data workflows.
• Continuously optimize cost and performance of AWS services.