Job Description
Roles & Responsibilities
We are seeking a highly skilled Senior AWS Data Engineer with expertise in Fivetran, AWS Glue, Python, SQL, and cloud-native data engineering. The ideal candidate will be responsible for building scalable data ingestion and transformation frameworks, enabling analytics, data products, and AI-driven initiatives across the enterprise. Exposure to Amazon Bedrock and modern GenAI architectures is highly desirable.

Key Responsibilities
• Design, develop, and maintain enterprise-scale data pipelines using AWS services.
• Implement and manage data ingestion frameworks using Fivetran.
• Develop ETL/ELT workflows using AWS Glue and PySpark.
• Build and optimize data lake solutions on AWS.
• Perform source-to-target mapping and support data migration initiatives.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Develop reusable pipeline patterns and automation frameworks.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support AI and GenAI use cases by preparing and managing high-quality datasets.
• Follow DataOps, CI/CD, governance, and security best practices.

Senior Data Engineer

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