Data Engineer Lead or Senior Warehouse Indianapolis Local, Hybrid Must at Indianapolis, Indiana, USA |
Email: [email protected] |
From: srikanth, HCL Gloabl [email protected] Reply to: [email protected] The essential functions of this role are as follows: Work with various IT teams (data, database and infrastructure) in analyzing the agencys use of the data warehouse. Provide guidance and education on warehouse environments using industry standards and best practices. Research leading edge capabilities, within the Indiana Office of Technology purview and guidelines, to determine the best solution for the overall environment. Set technology architectural direction, delivering assessment recommendations. Develop a project/implementation plan for setting up the warehouse including ideal data pipelines and other data and visual interfaces. Follow through on setting up the agencys warehouse environment as per the agencys initiative. Configure and setup Azure Synapse with correct structure. Participate with Data Analyst(s) as needed to define minimal viable data assets in support of the visual needs. Review and provide architectural guidance for all analytic solutions. Advise management as needed of any shortcomings with current tools and/or approaches related to the business initiatives The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time. Skill Required / Desired Amount of Experience Extensive knowledge of information systems design principles and new systems design techniques. Required 5 Years A very strong understanding of current industry standards and best practices used in data and data warehouse development. Required 5 Years Extensive knowledge of system and business data applications Required 5 Years Sizable experience is setting up other data warehouse environments. Required 5 Years Ability to evaluate the business needs and objectives. Required 5 Years Extensive knowledge of policies, standards, procedures, and techniques used for data and application development Required 3 Years Ability to perform problem solving and analytical analysis on complex issues. Required 3 Years High technical competency level of all phases of data analysis and developing activities Required 3 Years Willingness to train/educate data team members, DBAs, infrastructure support and management in effective data warehouse designs/approaches. Required 3 Years Proficient in developing project plans including discovery, development, and implementation. Required 3 Years Experience in using the ETL tools - Azure Synapse and Azure Data Factory Required 2 Years Ability to manage multiple data development assignments and priorities. Required 2 Years Ability to communicate effectively, both orally and in writing. Required 2 Years Working knowledge in the above skills must be withiin the last 6 months. Required Keywords: information technology |
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Wed Sep 20 00:08:00 UTC 2023 |