Crescens
Azure Data Engineer
Crescens, Raleigh, North Carolina, United States, 27601
Job Title:
Azure Data EngineerLocation: Raleigh, NC (Remote)Duration: 12 MonthsType: ContractNotes:***Equipment can be shipped to the candidate.Job Description:
The client is seeking a highly motivated Senior Business / Data Analyst to join the Permit Transformation Program team.Currently, the Department enterprise is a complex, multi-platform data environment.Technologies in use include Oracle, DB2, MySQL, and SQL Server, as well as desktop-based applications such as MS Access and MS Excel.Department aims to establish an enterprise data model with a primary goal of standardizing shared data entities and attributes and a secondary goal of standardizing database management systems and tools. Related transactional databases and data warehouses will be hosted in Azure, generally using Microsoft Dataverse and SQL Server.The Senior Data Analyst/Architect will provide analysis and leadership on data analysis projects across the DEQ enterprise. You will provide insight to other data analysts, data architects, and application developers related to creating an enterprise data model that meets DEQ's business and technical requirements. You will also provide subject matter expertise related to Microsoft Dataverse, SQL Server, Azure Data Factory, and SSISSkills:
Experience with Azure Data Factory as an ETL toolExperience with MS Dataverse isRequiredExperience with MS SSISProven track record of solving real world problems using data. Excellent critical thinking skills is a must have for this role.Bachelor's Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, data structureOutstanding interpersonal and communication skills and experience collaborating and influencing across all levels of the organization.Understanding of different database platforms: Oracle, SQL Server (On-Prem / Azure), DB2, and MS Access.Excellent communication skills including written, verbal, and technology illustrations.Understanding of Data Warehousing and data mining.Understanding of modeling strategies (dimensional, snowflake, relational, unstructured).Experience designing and delivering data mapping specifications for large reporting platforms. Writing and maintaining business rules using SQL logicDemonstrated experience in writing ad-hoc SQL statementsStrong interest in playing a technical data steward role across our business and technology partners to understand and detail our data, appropriateProven experience with ERD/Data Modelling tools (Toad or others).Experience in executing projects in an Agile / Hybrid environmentAbility to challenge the legacy design and seek opportunities to design better models and better code.Demonstrated technical ability in learning new technologies and adapting to frequent changes in the technical environmentExperience with data reporting tools (Power BI, others)Ability to look at data in various formats, organize data for the agency to meet the needs of unique program areas and enable the programs to effectExperience conceptualizing and visualizing data structures before they are drawn.Experience migrating data from various legacy platforms
Azure Data EngineerLocation: Raleigh, NC (Remote)Duration: 12 MonthsType: ContractNotes:***Equipment can be shipped to the candidate.Job Description:
The client is seeking a highly motivated Senior Business / Data Analyst to join the Permit Transformation Program team.Currently, the Department enterprise is a complex, multi-platform data environment.Technologies in use include Oracle, DB2, MySQL, and SQL Server, as well as desktop-based applications such as MS Access and MS Excel.Department aims to establish an enterprise data model with a primary goal of standardizing shared data entities and attributes and a secondary goal of standardizing database management systems and tools. Related transactional databases and data warehouses will be hosted in Azure, generally using Microsoft Dataverse and SQL Server.The Senior Data Analyst/Architect will provide analysis and leadership on data analysis projects across the DEQ enterprise. You will provide insight to other data analysts, data architects, and application developers related to creating an enterprise data model that meets DEQ's business and technical requirements. You will also provide subject matter expertise related to Microsoft Dataverse, SQL Server, Azure Data Factory, and SSISSkills:
Experience with Azure Data Factory as an ETL toolExperience with MS Dataverse isRequiredExperience with MS SSISProven track record of solving real world problems using data. Excellent critical thinking skills is a must have for this role.Bachelor's Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, data structureOutstanding interpersonal and communication skills and experience collaborating and influencing across all levels of the organization.Understanding of different database platforms: Oracle, SQL Server (On-Prem / Azure), DB2, and MS Access.Excellent communication skills including written, verbal, and technology illustrations.Understanding of Data Warehousing and data mining.Understanding of modeling strategies (dimensional, snowflake, relational, unstructured).Experience designing and delivering data mapping specifications for large reporting platforms. Writing and maintaining business rules using SQL logicDemonstrated experience in writing ad-hoc SQL statementsStrong interest in playing a technical data steward role across our business and technology partners to understand and detail our data, appropriateProven experience with ERD/Data Modelling tools (Toad or others).Experience in executing projects in an Agile / Hybrid environmentAbility to challenge the legacy design and seek opportunities to design better models and better code.Demonstrated technical ability in learning new technologies and adapting to frequent changes in the technical environmentExperience with data reporting tools (Power BI, others)Ability to look at data in various formats, organize data for the agency to meet the needs of unique program areas and enable the programs to effectExperience conceptualizing and visualizing data structures before they are drawn.Experience migrating data from various legacy platforms