Job Description
Job ID-ACSGSUG32 Cloud ETL Developer Location - Richmond, VA (look for nearby candidates within 40-50 miles) Interview Type - Both Phone and In Person Work Arrangement- Hybrid (3 days onsite 2 days remote) US Citizen, Greencard Holder, EAD($70/hr. on W2) 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.
Job Tags
Remote work