Job Description

Position: Unisys COBOL Developer

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

Duration: 6+ month contract

Interview Style: 1-2 Rounds Virtual

Job Description:

Manager Notes: "Very important to have Unisys Cobol. I know if Unisys wasn't 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 cross-functional 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 cross-functional teams to understand business and downstream application (BI reporting, Data Science, Data Governance, other System integrations) and consumer requirements to deliver data-driven 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 front-end and back-end 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 third-party 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

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