What are the responsibilities and job description for the Cloud ETL Developer position at VTal Technology Solutions?
Seeking a Cloud ETL Developer for a contract role with a State Government organization in Richmond, VA.
The organization's Information Technology Division (ITD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Enterprise Data Asset team. This analyst will support teams working in Agile (Sprint) to analyze datasets to be made available in a cloud-based data management platform that will support the agency to produce master data with data governance.
Responsibilities include analyzing source systems which contain a spatial component for candidate datasets; documenting business processes and data lifecycle; developing data requirements, user stories and acceptance criteria; and testing strategies. Develop ETL to extract business data and spatial data and load it into a data warehousing environment. Design and test the performance of the system. Consult with various teams to understand the company's data storage needs and develop data warehousing options. Deep knowledge of coding languages, such as python, Java, XML, and SQL. Well-versed in warehousing architecture techniques such as MOLAP, ROLAP, ODS, DM, and EDW.
This is a fast-paced organization with very high standards for work quality and efficiency. This position is expected to handle multiple projects, and remain flexible and productive, despite changing priorities and processes. Ongoing improvement and efficiency are a part of our culture, and each team member is expected to proactively contribute to process improvements.
Responsibilities :
- Work with the Project team members and business stakeholders to understand business processes and pain points
- Develop expertise in source system datasets and data lifecycle
- Profile source data which may contain a spatial component; review source data and compare content and structure to dataset requirements; identify conflicts and determine recommendations for resolution
- Conduct entity resolution to identify matching and merging and semantic conflicts
- Elicit, record, and manage metadata
- Diagram current processes and proposed modifications using process flows, context diagrams and data flow diagrams
- Decompose requirements into Epics and Features and create clear and concise user stories that are easy to understand and implement by technical staff
- Utilize progressive elaboration; map stories to data models and architectures to be used by internal staff to facilitate master data management
- Identify and group related user stories into themes, document dependencies and associated business processes
Client and document requirements and user stories with a focus on improving both business and technical processing
Qualifications
Required :
The candidate must have a minimum of 10 years of experience delivering business data analysis artifacts
5 years of experience as an Agile Business Analyst; strong understanding of Scrum concepts and methodology
Experience organizing and maintaining Product and Sprint backlogs
Experience translating client and product strategy requirements into dataset requirements and user stories
Proficient with defining acceptance criteria and managing acceptance process
Experience with enterprise data management
Expertise with Microsoft Office products (Word, Excel, Access, Outlook, Visio, PowerPoint, Project Server)
Experience with reporting systems - operational data stores, data warehouses, data lakes, data marts
Preferred Skills :
Computer Skills / MS Office / Software :
Technologies Required :
