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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Do you thrive on designing and developing complex enterprise applications? Are you passionate about keeping mission-critical systems running smoothly and efficiently? If so, then this Master Data Management Development role is for you!

We are seeking a highly motivated and experienced individual to join our development team as a Master Data Management Software Engineer. In this role, you will play a critical role in ensuring the stability, performance, and security of our core mainframe applications and help drive our modernization efforts. You will have the opportunity to apply your deep technical expertise to design, develop, and implement innovative solutions that keep our business operations running at peak efficiency.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 

1. Builds, manages, and implements the data and/or Big Data pipeline capabilities including data modeling, process design and overall data pipeline architecture and all phases of the ETL (extract, transform, and load) processes.

2. Leads efforts related to partially to completely automate repeatable data preparation and integration tasks. Partner with technology teams to understand data capture, testing needs, and to build and test end-to-end solutions.

3. Partners with engineers, data scientists, and the data office leadership to define and refine data architecture and technology choices.

4. Takes a new perspective on existing solutions to solve problems of the highest complexity and exercise judgment based on the analysis (e.g. modeling, testing, etc.) of multiple sources of information and make recommendations.

5. Leads larger, more complex data engineering projects and initiatives with significant risks and resource requirements.

 

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor’s degree and eight years of experience in systems engineering or administration or equivalent education and related training or experience

2. Specialized knowledge of SQL, relational databases, ETL/ELT architecture and concepts, data integration concepts and big data concepts

3.Previous experience in planning and managing IT projects

 

Preferred Qualifications:

1. Ability to design, develop, and maintain high-performance, scalable, and secure mainframe applications using COBOL, DB2, and related technologies.

2. Identify and lead efforts to apply mainframe modernization techniques and align with technology architecture roadmaps.

3. Experience with change data capture and data replication solutions to seamlessly move data between core mainframe and distributed systems using, Ab Initio, CDC, Q Replication, Qlik Replicate, etc.

4. Manage and maintain CICS transactions, ensuring optimal performance and availability.

5. Knowledge and experience in data m