What are the responsibilities and job description for the Unisys COBOL Developer position at MM International?
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
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