| Data Engineer with DQ Labs Local to Virginia or DMV Area at Virginia, Minnesota, USA |
| Email: [email protected] |
| From: Awkash Kumar, Largeton Inc [email protected] Reply to: [email protected] JOB DESCRIPTION : Configure and administer Cloud-based Data Quality platform (DQ Labs). Setup 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 DQ Labs 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 Skill/Experience/Education Mandatory Skills 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. 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 Desired Skills Snowflake experience is highly preferred Keywords: continuous integration continuous deployment |
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| Wed Feb 21 02:26:00 UTC 2024 |