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.
Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features.
Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows.
Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides.

5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments.
Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora.
Hands-on experience with AWS Glue for ETL development and data pipeline orchestration.
Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities.
Working knowledge of Amazon Textract for automated document data extraction.
Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies.
Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration.
Solid understanding of data modeling, data quality validation, and integration testing practices.
Familiarity with Amazon API Gateway for exposing data services to downstream consumers.
Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams.

Senior Data Engineer – AWS

Key skills