| I tried to reach you for the below position Big Data Engineer and fully remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Raj, Techgene [email protected] Reply to: [email protected] I tried to reach you for the below position Big Data Engineer and fully remote I hope you are well. I am (Raj) with Techgene Solutions LLC. Were Big Data Engineer I think your experience is a great fit for this role. If youre interested in learning more, Id love to connect with you. Please review th e Job description below and let me know if you are comfortable. I look forward to hearing from you soon. Thank you! Please share your profiles to [email protected] or you can reach me at 972-580-0247 Ext 253 CHECKPOINT Full Legal Name Contact Number Email ID Date of Birth (MM/DD) Last 4 Digit SSN Current Location with Zip Code Two LinkedIn references from their recent two projects Work Authorization/Visa Status Passport Number Corporation Name Open to relocate OR Travel Total Years of IT Experience Education Details University, year: US Experience Big Data Engineer 600 E Boulevard Ave, Dept 215 Bismarck, Position can be fully remote but candidates must be located within the contingent US and must be able to work on the State of ND's Central Time Zone business hours. The candidate must be able to participate in web/video meetings as needed while remote Skill Required / Desired Amount of Experience IaaS, PaaS, or SaaS data or AI implementations within Microsoft Azure Required 3 Years Exploratory Data Analysis (EDA): Proficiency in EDA techniques to support ETL/ELT processes Required 3 Years Implementation of Development and Production Workflows in Azure Data Factory and Databricks Required 2 Years Strong scripting skills in Python and SQL Required 3 Years Expert proficiency of data engineering creation in Microsoft Fabric Required 1 Years Expert proficiency with Excel and Power BI Highly desired 2 Years Expert proficiency of Delta Lake format and protocol Highly desired 1 Years Expert understanding of the Data Lakehouse Medallion Architecture Highly desired 1 Years IMPORTANT NOTES: This position will be fully remote. Candidates must be living and working within the continental US and would be expected to work the client's standard Central Time Zone business hours. This position is expected to work 35 hours per week. The rate on the Details tab is the CLIENT's bill rate, not the Vendor rate you are able to bill for the position. The maximum VENDOR RATE you can bill for this position is specified within the Questions section of the requisition. Please read fully and respond appropriately to each item in the Questions section. The Big Data Engineer is a vital member of a collaborative team, responsible for designing, engineering, maintaining, testing, evaluating, and implementing big data infrastructure, tools, projects, and solutions for the North Dakota University System (NDUS).This role involves working closely with the team to leverage cutting-edge database technologies for the swift retrieval of results from vast datasets. The engineer will select and integrate big data frameworks and tools to meet specific needs and manage the entire lifecycle of large datasets to extract valuable insights. Key Responsibilities: Design and implement scalable big data solutions tailored to NDUSs needs. Maintain and enhance existing big data infrastructures to meet NDUSs unique requirements. Test and evaluate new big data technologies and frameworks for compatibility with NDUS systems and goals. Collect, store, process, manage, analyze, and visualize large datasets to derive actionable insights. Collaborate with team members to integrate big data solutions with existing NDUS systems. Ensure data integrity and security across all platforms used within NDUS. Develop and optimize data pipelines for ETL/ELT processes specific to NDUSs data needs. Document technical solutions and maintain comprehensive records in line with NDUS standards and protocols. Stay updated with the latest trends and advancements in big data technology relevant to NDUSs strategic initiatives. Required Qualifications: Thorough understanding of cloud computing technologies, including IaaS, PaaS, and SaaS implementations. Skilled in exploratory data analysis (EDA) to support ETL/ELT processes. Proficiency with Microsoft cloud products, including Azure and Fabric. Experience with tools such as Data Factory and Databricks. Ability to script in multiple languages, with a strong emphasis on Python and SQL. Preferred Qualifications: Experience with data visualization tools. Proficiency with Excel and Power BI. Familiarity with Delta Lake. Knowledge of Lakehouse Medallion Architecture. Keywords: artificial intelligence access management materials management business intelligence information technology Idaho North Dakota I tried to reach you for the below position Big Data Engineer and fully remote [email protected] |
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| Sat Nov 09 01:58:00 UTC 2024 |