What are the responsibilities and job description for the Data Engineer with Cobol at Smithfield, RI (Hybrid Onsite) position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Gtech LLC, is seeking the following. Apply via Dice today!
Role: Data Engineer with Cobol
Location: Smithfield, RI (Hybrid Onsite)
Duration: 12 Months
Interview Mode: Video
Bachelor's Degree or equivalent in a technology related field (e.g., Computer Science, Engineering, etc.) required.
7 years of hands-on experience in Data engineering, data warehousing and analytics technologies
7 years of experience with Relational Databases (Preferably in Oracle)
Not moving, but understand stored procedures
Advanced experience with SQL and complex queries (should be able to debug)
5 Experience with Informatica or any other ETL tools data integration and data movement design patterns (called via shell scripts)
5 Experience in Shell scripting (K-Shell, Bash)
5 years of experience working on Linux and AIX (proficient in at least one of these)
Ability to understand and code in COBOL and Pro*C
Not coding in COBOL. However, they need to understand COBOL code and ensure it works. How to compile and how to make it run.
Solid understanding of domain-based design, data modeling and data structures
Experience with DevOps, Continuous Integration and Continuous Delivery (understanding of DevOps)
Your ability to collaborate with other technical and business minds in the organization.
Your experience in executing projects in an Agile environment (Kanban and Scrum)
Nice to have:
Experience with Python
Experience with Apache Tomcat
Experience with business intelligence and analytics tools such as OBIEE
Experience In AWS, Azure, Airflow Is Preferred.
Experience in CICD automation tools
Good understanding of financial services.
Role: Data Engineer with Cobol
Location: Smithfield, RI (Hybrid Onsite)
Duration: 12 Months
Interview Mode: Video
Bachelor's Degree or equivalent in a technology related field (e.g., Computer Science, Engineering, etc.) required.
7 years of hands-on experience in Data engineering, data warehousing and analytics technologies
7 years of experience with Relational Databases (Preferably in Oracle)
Not moving, but understand stored procedures
Advanced experience with SQL and complex queries (should be able to debug)
5 Experience with Informatica or any other ETL tools data integration and data movement design patterns (called via shell scripts)
5 Experience in Shell scripting (K-Shell, Bash)
5 years of experience working on Linux and AIX (proficient in at least one of these)
Ability to understand and code in COBOL and Pro*C
Not coding in COBOL. However, they need to understand COBOL code and ensure it works. How to compile and how to make it run.
Solid understanding of domain-based design, data modeling and data structures
Experience with DevOps, Continuous Integration and Continuous Delivery (understanding of DevOps)
Your ability to collaborate with other technical and business minds in the organization.
Your experience in executing projects in an Agile environment (Kanban and Scrum)
Nice to have:
Experience with Python
Experience with Apache Tomcat
Experience with business intelligence and analytics tools such as OBIEE
Experience In AWS, Azure, Airflow Is Preferred.
Experience in CICD automation tools
Good understanding of financial services.
