Cloud ETL Developer (8238)

Position Title :  Cloud ETL Developer

Position Status :  12-month contract with extensions

Schedule :  HYBRID

Overview :  Our client   is looking for a  Cloud ETL Developer  for a  HYBRID  position based out of  Richmond, VA.

Responsibilities :

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.

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.

Requirements :

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 business’s data requirements, which must be met for building and maintaining Data Assets.

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, Azure data factory, snowflake.

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.

About Our Client :   Our client is an Equal Opportunity Employer and maintains a drug-free workplace by both policy and practice. Applicants are considered for all positions without regard to race, color, religion, sex, sexual orientation, national origin, age, marital or veteran status, or the presence of a non-job-related medical condition. Employment and personnel practices conform to all applicable federal, state, and local laws and regulations regarding non-discrimination. While the Company is committed to following this principle in every facet of employment, all employees share in the responsibility to promote and foster a favorable work environment.