Senior ETL Developer

Required Skills:

• Designs and develops systems for the maintenance of the Data Asset Program, ETL processes, and business intelligence (10 Years)

• 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 (10 Years)

• Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data hub and data (10 Years)

• Advanced understanding of data integrations. Strong knowledge of database architectures, strong understanding of ingesting spatial data (10 Years)

• Ability to negotiate and resolve conflicts, Ability to effectively prioritize and handle multiple tasks and projects (10 Years)

• Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of da (10 Years)

• Experience in AZURE Cloud engineering (10 Years)

• 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 with ESRI ArcGIS

• Experience with Azure Databricks, Azure data factory, snowflake

• Experience with enterprise data management

• 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

• Experience with reporting systems – operational data stores, data warehouses, data lakes, data marts

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 Data warehouse.

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

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

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, Power BI 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