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# Data Engineer

- **Company:** HDY Technologies LLC
- **Location:** Jersey City, NJ, United States
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Database, Profiling, Information Systems, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Profiling, Database Design, Database Development, Python (Programming Language), Oracle (Applications), Performance Tuning, Scrum Methodology, PL-SQL, SQL Databases, Google Cloud, Sql Optimization, Informatica Powercenter, Snowflake, Informatica Cloud, Reliability of Systems, Kubernetes, Information Technology, IBM UrbanCode Deploy, Apache Kafka, Api Design, Data Pipelines, Jenkins, Artifactory
- **Published:** September 25, 2026
- **Apply:** https://www.dice.com/job-detail/1195c713-71ce-4a24-b7a7-8e71b7942cc6

## About the Role

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.

Strong hands-on Oracle experience, including SQL/PLSQL, database design, and performance optimization.

Strong experience with advanced SQL, data modeling, and ETL/data integration.

Hands-on experience with data quality, reconciliation, profiling, and validation.

Experience with Informatica, SnapLogic, Kafka, or comparable ETL/integration technologies.

Proficiency in Python and/or Java.

Experience with AWS, Azure, or Google Cloud Platform and cloud-based data solutions.

Experience with end-to-end data integration and production support.

Preferred: Snowflake, Kubernetes, CI/CD (Jenkins, Artifactory, uDeploy), API development, AI/ML, or BI/Analytics experience.

## Description

Design, develop, and support scalable ETL pipelines, data integration processes, and database solutions, with strong focus on Oracle environments.

Perform data profiling, data quality validation, reconciliation, and source-to-target validation.

Develop and optimize SQL, data models, and database solutions for enterprise data environments.

Collaborate within Agile/SCRUM teams to deliver end-to-end data engineering solutions across the Prime Services domain.

Troubleshoot data, ETL, and production issues to ensure system reliability and performance.

Support cloud-based data solutions and implement modern data engineering technologies and best practices.

Create technical documentation, data mappings, and architecture/solution diagrams.


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