Unisys COBOL Developer

Position: Unisys COBOL Developer

Location: Remote Willingness to travel onsite to meet team is a BIG plus

Duration: 6 month contract

Interview Style: 12 Rounds Virtual

Job Description:

Manager Notes: Very important to have Unisys Cobol. I know if Unisys wasnt in the individuals experience the team likely would not consider them.

1. Develops tests and maintains complex prioritized engineering (design/build/test) work as a member of a data analytics product pipeline architecture and infrastructure team:

• Investigates and analyzes feasibility of data integration prototypes and program requirements
• Develops specifications and plans the full range of programming actions to produce data integration components
• Develops and maintains complex automated ETL/ELT pipeline architecture that cleans transforms and aggregates data from disparate sources using architecturally approved tools programming languages and services to deliver a data mesh approach
• Develops and maintains complex automated ETL/ELT monitoring and alarming solutions using architecturally approved languages and services
• Monitors troubleshoots and optimizes data pipelines for quality performance and reliability creating a single source of truth providing business customers with highly reliable and quality data
• Builds complex unit tests to enable test driven development and automation to drive code reliability
• Develops maintains tests and deploys code with architecturally approved toolsets using Dev Ops practices ETL/ELT pipelines data catalogs and data queries
• Maintains data solutions in a divest state to ensure business functionality until replaced with new technology
• Balances and designs data analytics product solutions based on cost and performance to meet data needs and business requirements
• Guides business customers to develop troubleshoot and optimize complex SQL and ETL/ELT solutions to solve reporting metrics and analytics problems

2. Data analysis: Collaborates with crossfunctional teams to understand data requirements for data analytics products and translate them into scalable and efficient data solutions:

• Leads moderately complex projects or supports larger initiatives as part of a team
• Partners with users and stakeholders to understand data needs and business requirements
• Leads the team on conceptualizing and developing new data solutions to meet the business data needs and requirements
• Researches performs analysis and proposes effective solutions related to system developments and enhancements through collaboration with Data Architecture
• Analyzes and reviews potential adjustments or modifications for impacts on other programs
• Leverages data governance data security and privacy principles to support data lineage and reference data needs
• Collaborates with crossfunctional teams to understand business and downstream application (BI reporting Data Science Data Governance other System integrations) and consumer requirements to deliver datadriven solutions that implement best practices for data management security and governance

3. Data modeling:

• Develops complex data objects for business analytics using data modeling techniques
• Models frontend and backend data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
• Works with stakeholders to understand complex business needs and translates them into a conceptual data model defining entities attributes and relationships
• Builds complex detailed logical models based on the conceptual model specifying data types constraints and keys to ensure data integrity
• Implements complex logical models into appropriate database management systems considering database features storage optimization and performance considerations
• Designs complex data pipelines to extract data from source systems transform it as needed based on the data model and load it into the target database

4. Documentation:

• Participates in creating and maintaining documentation related to the design of applications and interfaces to enterprise and thirdparty systems in accordance with departmental and team standards
• Collaborates with data governance on ensuring what is being produced in data analytics products enables data governance to publish a data asset
• Collaborates with data governance to develop and maintain data analytic products artifacts and user documentation for business customers
• Works with business customers and software development teams to gather and document requirements for data publishing and data consumption via data mesh architecture
• Maintains systems documentation