| Data & Analytics Platform Engineer Hybrid for in Richmond, VA, Dallas, TX, or Atlanta, GA EAD GC USC at Richmond, Virginia, USA |
| Email: [email protected] |
| From: Ankit Upadhyay, Pivotal Technologies [email protected] Reply to: [email protected] Data & Analytics Platform Engineer EAD/GC/USC This is a HYBRID position. Candidates must CURRENTLY be located in Richmond, VA, Dallas, TX, or Atlanta, GA to be considered. Please reflect current location on resume submission. This is not a data engineer, nor is it a devops engineer. It is more than that. Need very specific experience and very specific location. *****This is a Data Quality Platform Engineer role. Candidates must have strong experience with DATA QUALITY and have worked with specific DATA QUALITY TOOLS. The client uses DQLabs but other tool experience is okay too. Please make sure your data quality experience and your data quality tool experience is prominently displayed on your resume prior to submission. We are seeking an experienced Data & Analytics Platform Engineer with a minimum of 5 years of hands-on experience in configuring and maintaining Data Quality platform (cloud based SaaS solution), solid understanding of Data Availability, Observability, Reliability, and Data Quality. Familiar with business quality rules, monitoring and alerts, and managing user access using Role-Based Access Control (RBAC). Must have experience as a DevOps engineer with some Azure experience. Responsibilities: Configure and administer Cloud-based Data Quality platform (DQLabs). Set up and automate user access using Role-Based Access Control (RBAC) to ensure proper data access and security. Collaborate with cross functional teams to gather requirements for Data Availability checks and implement them Continuous automation and improvement mind-set. Ability to adapt to changing business requirements Utilize various automation tools to configure and implement robust business quality rules. Collaborate with DevOps teams to integrate data quality into the continuous integration/continuous deployment (CI/CD) pipeline. Build new CI/CD pipelines as needed Implement and maintain monitoring and alerting systems to proactively identify and address data quality and availability issues. Continuous improvement mindset with a focus on Operational Excellence Collaborate with cross-functional teams to resolve data availability and data quality incidents promptly. Stay informed about the latest trends in Data availability, Observability, and DevOps. Implement best practices and leverage cutting-edge tools for data quality assurance. Communicate effectively with stakeholders and customers. Experience Required: Minimum 5 years of experience as a Data & Analytics Platform Engineer or in a related role. Hands-on experience with DevOps tools, Azure cloud and Data Platforms, Infrastructure-as-Code tools such as Bicep, thorough understanding of SRE or DRE (Site/Data Reliability Engineering) is required. Expert level skills in SQL. Snowflake experience is highly preferred Proficiency in configuring business quality rules using automation tools like DQLabs or other cloud based SaaS solutions. Experience with RBAC implementation for user access management with a thorough understanding of authentication mechanisms and data security. Knowledge of the importance of Data Availability and Data Quality in organizational processes. Familiarity with the latest trends in Data Availability, Observability, and DevOps. Highly motivated, self-starter, and proven communication skills with the ability to engage effectively with stakeholders and customers. Thanks & Regards, ANKIT UPADHYAY Technical Recruiter Office: +1 (703) 570-8775 (Ext-217) Connect with me:-- linkedin.com/in/ankit-upadhyay-a689a1232 Keywords: continuous integration continuous deployment information technology green card Georgia Texas Virginia |
| [email protected] View all |
| Fri Mar 15 21:13:00 UTC 2024 |