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Data and Analytics Engineer – Richmond, VA OR Dallas, TX – HybridTechnology has revolutionized how we approach job hunting, and this book streamlines the process into a fast, efficient system that works. Instead of relying on outdated advice,The 2-Hour Job Searchfocuses on strategies that deliver real results in less time. #1 Best Seller:The 2-Hour Job Search, with568 ratingsand an impressive4.6 out of 5 stars. Technology has revolutionized how we approach job hunting, and this book streamlines the process into a fast, efficient system that works. Instead of relying on outdated advice,The 2-Hour Job Searchfocuses on strategies that deliver real results in less time. Don’t miss out on this game-changing guide.Order your copy now for expert job search tips!Job title:Data and Analytics Engineer – Richmond, VA OR Dallas, TX – HybridCompany:Primus Global ServicesJob description : Data and Analytics Engineer – 62887We have an immediate long-term opportunity with one of our prime clients for a position of Data and Analytics Engineer to work in Richmond, VA or Dallas, TX on Hybrid basis.Pay Rate : $55-$58/hr. Job Description: Data and Analytics Engineering – Platform team is critical to making our organization’s data strategy successful. You will play a key role in building and managing modern, adaptive, data-driven, and secure platforms and processes to enable Data & Analytics Engineering. You should have strong fundamentals of Database Administration, Data/Software Engineering, DevOps, and hands-on experience with Azure Cloud services. You will work on cross-functional initiatives and projects.Work Location and Arrangement: This role will be based out of one of the following locations and have a Hybrid work arrangement:Dallas, TX Technology Hub Richmond, VA Technology Innovation Center Roles and Responsibilities: Design and build Microsoft SQL Server in datacenters and Azure, including build and configuration automation, security, high availability, disaster recovery, monitoring, and maintenance Design and implement intelligent, predictable, reliable, scalable, cost-efficient, and easy-to-use platforms and frameworks for Data Science Machine Learning (DSML), Enterprise Data Lake/Warehouse (EDL/EDW), Master Data Management (MDM) functions Design, implement, maintain cloud platform infrastructure Evaluate and automate the scaling and capacity requirements within Azure environment Implement Azure cloud capabilities including but not limited to storage, key vaults, virtual networking, virtual machines, and automated deployments Implement, setup, configure, monitor, and maintain cloud based Data & Analytics platforms such as Databricks and Snowflake. Troubleshoot and resolve environment performance issues, connectivity issues, security issues Make recommendations and execute cost saving strategies for Cloud services Self-directed and able to balance the priorities of multiple teams, systems, and products with a leadership mindset Work collaboratively in teams and develop meaningful relationships to achieve common goals Streamline development and operation processes via continuous integration, deployment, automated testing while leveraging SRE principles Drive efficient resolution for system outages as well as performance and functional shortcomings. Engage in critical support situations and effectively, efficiently, and quickly drive successful resolution Design and implement solutions that leverage cloud services such as serverless computing, containers, and data lakes. Minimum Qualifications: 7+ years with Microsoft SQL Server (2016-2022) in an enterprise-level environment, including setup, security, monitoring, maintenance, and performance tuning 5+ years Azure SQL, SQL Managed Instance, and SQL Server on Azure Virtual Machines 5+ years Cloud Platform Engineering experience in an enterprise-level environment Advanced proficiency with Python, SQL, GitHub, Azure DevOps, Bicep/Terraform, PowerShell is required. Deep understanding and hands on experience with Infrastructure-as-Code, and configuration management automation tools is required 5+ years of DevOps experience with a clear understanding of related tools, structure, and processes working in an Agile/Scrum setting 3+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support Excellent communication skills, adapting to various audience types Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization Effective problem-solving, analytical thinking, cloud-native and security-first mind set, documentation, communication, and presentation skills Ability to positively influence team norms, culture, and technical vision Preferred Qualifications: Bachelor’s/Master’s in Computer Science or equivalent area Experience with cloud services such as Snowflake, Databricks, Synapse, SQL, CosmosDB, Data Factory, Event Hub, Functions, Batch, Key Vault, Managed Identity, Service Principal, Networking, Active Directory, Log Analytics, Monitoring Windows and Linux server/systems administration experience is highly desired Azure Administrator certification, Solution Architect, or Databricks Platform Administrator certification, Snowflake SnowPro certification is a strong plus Familiarity with microservices software architecture Experience with Azure cost management and forecasting is desired • *ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W-2**For immediate consideration, please contact:Anurag Singh PRIMUS Global Services Direct – 972 798 2625 Email:Expected salary : $55 – 58 per hourLocation : Dallas, TXJob date : Thu, 27 Mar 2025 23:51:11 GMTApply for this job now! Tags: Tech Jobs Explore career opportunities and trends in the tech industry with Tech Careers. From job tips to industry insights, stay informed about how to advance your tech career. Read the latest articles here at Techcratic. Your email address will not be published. Required fields are marked *#J-18808-Ljbffr

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