Cloud ETL Developer

We are actively hiring for Cloud ETL Developer
Location - Richmond, VA (Hybrid)
Inperson Interview

Visa: USC, GC, GC EAD

Must have skills: ETL processes, and business intelligence, Azure Databricks, Data Factory v2, Data Lake Store, Data Lake Analytics
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 integration.
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

Required:
Designs and develops systems for the maintenance of the Data Asset Program, ETL processes, and business intelligence.
Design and support the DW database and table schemas for new and existent data sources for the data hub and warehouse. Design and development of Data.
Work closely with data analysts, data scientists, and other data consumers within the business to gather and populate data hub and data.
Advanced understanding of data integration.
• Strong knowledge of database architectures, strong understanding of ingesting spatial data.
Ability to negotiate and resolve conflicts,
• Ability to effectively prioritize and handle multiple tasks and projects.
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.
Experience with key data warehousing architectures including Kimball and Inmon and has broad experience designing solutions using a broad set.
expertise in 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.
Experience in AZURE Cloud engineering