| Data and Analytics Engineer || hybrid in Richmond, VA or Dallas, TX (local only) at Richmond, Virginia, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2288072&uid= Share me resume at [email protected] POSITION: Data and Analytics Engineer LOCATION: Richmond, VA or Dallas, TXhybrid (Must be local) DURATION: 6 months C2C REQUIRED SKILLS 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, Power 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/masters in computer science or equivalent area Experience with cloud services such as Snowflake, Databricks, Synapse, SQL, Cosmos DB, 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. Regards, Satyam Gupta 1 Point System LLC [email protected] -- Keywords: database information technology Texas Virginia Data and Analytics Engineer || hybrid in Richmond, VA or Dallas, TX (local only) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2288072&uid= |
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| 07:01 PM 26-Mar-25 |