Mainframe Developer & Mainframe Database Glue ETL Engineer TCS Malvern, PA / Charlotte, NC

Overview

On Site
Hybrid
$30 - $40
Contract - Independent
Contract - W2
Contract - 2 Year(s)
Able to Provide Sponsorship

Skills

Amazon Web Services
Analytical Skill
COBOL
Cloud Computing
Collaboration
Communication
Data Extraction
Data Integration
Data Lake
Data Migration
Data Warehouse
Database
Extract
Transform
Load
IBM DB2
JCL
Mainframe
SQL
VSAM
Workflow

Job Details

Position: Mainframe Database Glue ETL Engineer
Client: TCS
Location: Malvern, PA or Charlotte, NC (Hybrid / On-site)
Employment Type: Full-time, W2 Rate: $35 - $40 per hour on W2

Key Responsibilities:

  • Develop and manage ETL pipelines for Mainframe databases (DB2, IMS) to ensure smooth data integration processes.

  • Use AWS Glue to transform, clean, and move data between systems while optimizing the data workflows.

  • Analyze and resolve any database-related issues within the Mainframe environment.

  • Collaborate with cross-functional teams to design solutions for data extraction, transformation, and loading into various target systems.

  • Provide ongoing support and maintenance for existing ETL processes and integrate them with cloud-based systems.

  • Work with mainframe systems and AWS Glue to automate and optimize the data integration process.

Required Skills and Qualifications:

  • 6+ years of experience in Mainframe Database development, including working with DB2 and IMS.

  • Strong experience in building and optimizing ETL pipelines, especially using AWS Glue.

  • Proficient in SQL and data transformation techniques.

  • Solid understanding of Mainframe systems, including COBOL, JCL, and VSAM.

  • Familiarity with AWS services and cloud-based data integration technologies.

  • Strong analytical skills with the ability to troubleshoot and resolve issues quickly.

  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience in working with AWS integration tools and ETL frameworks.

  • Knowledge of data warehousing and cloud data platforms.

  • Previous experience with Data Lake and data migration projects.

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