Data Analyst/Cloud ETL Developer
4 weeks ago
Lorven Technologies is seeking a highly skilled Data Analyst/Cloud ETL Developer to join our team. As a key member of our Enterprise Data Asset team, you will be responsible for analyzing datasets to be made available in a cloud-based data management platform. Your expertise will help us 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. You will also 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.
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
Requirements:
- 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
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