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

Discover and document requirements and user stories with a focus on improving both business and technical processing
Assist Product Owner in maintaining the product backlog
Create conceptual prototypes and mock-ups
Collaborate with staff, vendors, consultants, and contractors as they are engaged on tasks to formulate, detail and test potential and implemented solutions
Perform Quality Analyst functions such as defining test objectives, test plans and test cases, and executing test cases
Coordinate and Facilitate User Acceptance Testing with Business and ensure Project Managers/Scrum Masters are informed of the progress

Designs and develops systems for the maintenance of the Data Asset Program(Data Hub), ETL processes, ETL processes for spatial data, and business intelligence.

Develop a new data engineering process that leverage a new cloud architecture and will extend or migrate our existing data pipelines to this architecture as needed.

Design and supports the DW database and table schemas for new and existent data sources for the data hub and warehouse. Design and development of Data Marts.

Work closely with data analysts, data scientists, and other data consumers within the business in an attempt together and populate data hub and data warehouse table structure, which is optimized for reporting.

The Data developers partners with Data modeler and Data architect in an attempt to refine the businesss data requirements, which must be met for building and maintaining Data Assets.



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

Exceptional experience writing complex sql queries for Sql Server and Oracle

Experience with Azure Databricks

Experience with ESRI ArcGIS

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

The candidate must have exceptional written and oral communications skills and have the proven ability to work well with a diverse set of peers and customers

Preferred Skills:

Advanced understanding of data integrations.

Strong knowledge of database architectures

Strong analytical and problem solving skills

Ability to build strong relationships both internally and externally

Ability to negotiate and resolve conflicts

Ability to effectively prioritize and handle multiple tasks and projects

Strong written and verbal communication skills

Desire to learn, innovate and evolve technology

Computer Skills/MS Office/Software:

Excellent computer skills and be highly proficient in the use of MS Word, PowerPoint, MS Excel, MS Project, MS Visio, and MS Team Foundation Server, which will all be necessary in the creation of visually and verbally engaging ETL, data designs and tables as well as the communication of documentation and reporting.

Deep passion for data analytics technologies as well as analytical and dimensional modeling. The candidate must be extensively familiar with ETL(Extraction, Transformation & Load), data warehousing, and business intelligence tools such as business objects, PowerBI and Tableau.

The candidate must also have vast knowledge of database design and modeling in the context of data warehousing.

Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Azure Cosmos DB

Technologies Required:

Data Factory v2,Data Lake Store, Data Lake Analytics, Azure Analysis Services, AZURE Synapse

IBM Datastage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse.

Operating System Environments (Windows, Unix, etc.).

Scripting experience with Windows and/or Python, Linux Shell scripting