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# AWS Data Engineer

- **Company:** InfiCare Inc
- **Location:** Minneapolis, MN, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Confluence, JIRA, Computer Programming, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Relational Databases, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Oracle Databases, Oracle (Applications), Standard Sql, Cloud Platform System, Data Ingestion, GitHub Copilot, Snowflake, Cloudformation, Pyspark, Deployment Automation, Data Analytics, AWS Data Analytics, Data Pipelines, Serverless Computing, Jenkins, Servicenow
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/106c3edc-899e-4cb4-a460-cbd4d019ca89

## About the Role

* Programming: Python, SQL
 * Databases: Oracle, SQL Server
 * ETL/Data Tools: PySpark
 * Cloud: AWS - S3, Lambda, Glue, EMR, EMR Serverless, Step Functions, Athena, EC2, CloudFormation Template, SNS Topic

Preferred Skills

 * Programming: Java, Scala
 * Databases: Snowflake, PostgreSQL
 * ETL/Data Tools: Informatica, Glue ETL
 * AWS: Kinesis Datastream, Kinesis Firehose
 * AI Tools: AWS Bedrock, AWS Bedrock Agent Core, Kiro, GitHub Copilot
 * Build/Deployment: Jenkins, CI/CD Pipeline
 * Other: TWS, Tidal, ServiceNow, Jira, Confluence
 * Financial services or brokerage industry background

## Description

Our client is seeking a skilled AWS Data Engineer to join their team in Minneapolis, MN. The ideal candidate will bring hands-on experience with cloud-based data platforms, ETL pipelines, and modern data engineering practices. A background in financial services or brokerage is a strong plus., * Design, build, and maintain scalable data pipelines on AWS

 * Develop ETL processes using PySpark and Informatica
 * Work with large relational databases including Oracle and SQL Server
 * Implement and manage AWS services for data ingestion, processing, and storage
 * Collaborate with business stakeholders to deliver data-driven capabilities
 * Contribute to CI/CD pipeline development and deployment automation


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