Job description

• **Local Candidates • **Onsite 3 days/week We are seeking a Senior ETL Developer to ingest/transform and load Data Assets and implement a cloud-based data management platform that will support the department. The ETL Developer will extract business data and load it into a data warehousing environment. Roles and responsibilities: • Design, program and test the performance of the system. • Consult with various teams to understand the agency’s data storage needs and develop data warehousing options. • Deep knowledge of coding languages, such as Azure Data Factory, Databricks, python, XML, and SQL. • Well-versed in warehousing architecture techniques such as MOLAP, ROLAP, ODS, DM, and EDW. • Designs and develops integrations for the Enterprise Data Asset program, ETL processes, and business intelligence. • Develop data engineering processes that leverage a cloud architecture and will extend or migrate our existing data pipelines to this architecture as needed. • 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 Marts. • Work closely with data analysts, data scientists, and other data consumers within the business to gather and populate data hub and data warehouse table structure, which is optimized for reporting. • The Data Developers partners with Data modeler and Data architect to refine the business’s data requirements, which must be met for building and maintaining Data Assets. • Understanding of Agile methodologies and processes • 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 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 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 a 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 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, Databricks • Data Factory v2, Data Lake Store, Data Lake Analytics, Azure Analysis Services, Azure Synapse, Snowflake • 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

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