Data Engineer _ Jersey City, NJ, San Antonio, TX, Dallas, TX, and Raleigh, NC (Alternate weeks Onsite) _ 6-12 Months (On W2 Only) _ USC/EAD Only
Quick Overview
Job Description
Title: Data Engineer
Location: Jersey City, NJ, San Antonio, TX, Dallas, TX, and Raleigh, NC (Alternate weeks Onsite)
Duration: 6-12 Months (On W2 Only)
Onsite: First week onsite, then alternate weeks
Visa: USC/EAD Only
Responsibilities
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.
Qualifications
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.
Thanks & Regards
Vipin Saroha
HDY Technologies
Address: 30 N Gould St., Ste N. Sheridan, WY 82801
Mob: +1 |Extn: 107
Web:-
We should not judge people by their peak of excellence; but by the distance they have traveled from the point where they started.
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