Senior Data Engineer (AWS)
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About the Role
Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require.
Who You Are and What You'll Do:
Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows.
Responsibilities:
- Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase.
- Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform.
- Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data.
- Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents.
- Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting.
- Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets.
- Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines.
- Develop and expose data through Amazon API Gateway to support application and dashboard consumption.
- Ensure data quality, validation, and integrity across all integration points and pipeline outputs.
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