Overview
Skills
Job Details
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
HHSC IT is continuing to develop an HHS data integration hub with a goal to accomplish the following:
Implementation and configuration of the infrastructure for the data integration hub
Design, development, and implementation (DD&I) of the data integration hub using an agile methodology for all standard SDLC phases that includes, but is not limited to:
o Validation of performance metric requirements
o Creation of Epics/User Stories/Tasks
o Automation of data acquisition from a variety of data sources
o Development of complex SQL scripts
o Testing integration, load and stress
o Deployment / publication internally and externally
Operations support and enhancement of the data integration hub
This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Texas Integrated Eligibility Redesign System (TIERS). As a member of the agile development team, the worker responsibilities may include:
Data acquisition from a variety of data sources for multiple uses.
Developing complex SQL scripts to transform the source data to fit into a dimensional model, then to create views and materialized views in Oracle.
Developing automation with Informatica IICS or Power Center to pull data from external data sources and transform it to fit into a dimensional model.
Collaborating with other members of the Data Engineering Team on the design and implementation of an optimal data design.
Verification and validation of SQL scripts, Informatica automation and database views.
Developing automated means of performing verification and validation.
Participating in all sprint ceremonies
Work closely with the Architects and Data Engineering Team on implementation designs and data acquisition strategies.
Enhance and maintain the Java web site that provides Tableau dashboards to an array of users with different roles.
Develop mockups and work with customers for validation
Working closely with other members of the team to address technical problems
Assisting with the implementation and configuration of developmental tools
Producing and maintaining technical specifications, diagrams, or other documentation as needed to support the DD&I efforts
Participation in requirements and design sessions
Interpreting new and changing business requirements to determine the impact and proposing enhancements and changes to meet these new requirements
All other duties as assigned.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: | ||
Years | Required/Preferred | Experience |
8 | Required | Experience developing mappings and workflows to automate ETL processes using Informatica IICS, IDMC or Power Center. |
8 | Required | Experiencing acquiring and integrating data from multiple data sources/technologies using Informatica for use by a Tableau data visualization object. Data source techs should include Snowflake, Oracle, SQL Server, Excel, Access and Adobe PDF. |
8 | Required | Experience designing and developing complex SQL scripts that are fast and efficient |
8 | Required | Strong analytical and problem-solving skills with experience as a Data analyst for a data analytics, performance management system, or data warehousing project. |
8 | Required | Technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), and the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project. |
8 | Required | Experience in designing and developing Python scripts for data testing and automation. |
8 | Required | Identify, record, and track defects throughout the development lifecycle, working with developers to prioritize and resolve issues. |
8 | Required | Collaborate with development teams to understand project specifications and contribute to the continuous improvement of quality processes. |
8 | Required | Develop and execute test plans, test cases, and test scripts based on project requirements to ensure comprehensive testing coverage. |
8 | Required | Identify and communicate business risks relative to testing and implementation for evaluation by project teams and management |
8 | Required | Self-motivation, organized, time-management and deductive problem-solving skills |
8 | Required | Work independently and as part of a team |
8 | Required | Multi-task along with attention to detail |
8 | Required | Maintain confidentiality and practice discretion and caution when handling sensitive information |
8 | Preferred | Contribute to improving automation frameworks, including adding new features and enhancing test coverage |
4 | Preferred | Experience building or working with automated regression and functional test suites, ideally enhanced by AI |
2 | Preferred | Experience working on AI platforms or validating AI-integrated products |
2 | Preferred | Familiarity with observability and testing infrastructure at scale |
2 | Preferred | A track record of driving innovation in software quality or test automation |