| Data Ops Engineer || Need local candidtes with linkedin with recent work exp. in MN) WITH DL at Remote, Remote, USA |
| Email: [email protected] |
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https://jobs.nvoids.com/job_details.jsp?id=1401935&uid= From: hanshika, vyze [email protected] Reply to: [email protected] Job Description - Need local candidtes with linkedin with recent work exp. in MN) Data Ops Engineer Hybrid ( Arden Hills, MN) Skype Job Description: The Data Ops Engineer has an understanding that data is the foundation of any information-driven operating environment and is critical to the success of business outcomes. The Data Ops Engineer will work with the Data Architecture and Data Engineering teams to learn/assist in the design of solutions that ensure consistent, reliable, efficient, and sustainable data are delivered using best practices, standards and processes. The result of these efforts is highly accurate and trusted data assets for use in the Enterprise Data Platform and across the organization. Additionally, the Data Ops Engineer will also learn/assist in the effort to support the tools used to build the data platform for DevOps processes. The Data Operations Engineer will work to enhance the platform and utilities to drive efficiencies in existing data pipelines as well as the process to engineer new ones. Technical Platform Operations Automate administration tasks using Python and SQL against APIs and CLIs to nurture and develop the data platform Work closely with technical staff to learn and optimize their technical environment needs Administer cloud native platforms including Snowflake, Databricks, Qlik, Event Hubs, Power BI and other Azure services Build notification solutions to ensure cloud platforms are operational and alerts are sent when they are not using methods such as pub/sub Install patches and upgrades Support issue resolution and escalation Facilitate reporting of business metrics of platform (adoption, alignment to business goals, alignment to product team needs, etc.) Build custom DevOps capabilities where tools or platforms do not have them built-in Engage with software vendors to understand new capabilities of their platforms and tools Establish platform-wide standards Measure data pipeline alignment to standards Measure uptime of platforms Participate in MVP and PoC activities to understand new technical capabilities of the technology platform Perform root cause analysis when there are issues Product Development Operations Ability to effectively communicate with technical and non-technical personnel Build automation routines to support releases of incremental functionality to data applications owned and managed by a product Implement data ingestion frameworks to support ingestion of varied data Solve unforeseen technical and process problems Document processes and onboard new data engineering resources Measure and report consumption of cloud native platforms Improve Interoperability Communicate status of platform to technical product members Build regression testing solutions to ensure various teams are not implementing conflicting solutions in the platform Ability to work closely with cross functional IT stakeholders to build devops solutions Ability to proactively communicate any potential risks cross-functionally Required Experience/Education College or Vocation Training in Computer Science, Programming, or similar technical areas. Or 1 2 years work experience in data processing, programming languages (SQL, Python, SAS, R, etc.), infrastructure, dev ops, etc.. This could experience could be in school or a work environment. Required Competencies/Skills Basic technical knowledge and understanding of data and processing Ability to learn quickly from formal and informal training Ability to identify potential technical issues/risks Ability to identify potential business solutions Ability to collaborate across all levels and areas of the data platform team Ability to participate in PoC efforts to research emerging technologies Ability to work closely with technical and business people, as well as perform hands-on implementation Preferred Experience/Education Post High School college or tech training Preferred Competencies/Skills Knowledge of modern data platform tools (Snowflake, Redshift/AWS, Big Query/Google, etc.) Knowledge of Python, SQL, Linux, Docker, NPM (package installation) or similar tools Strong communication skills Interest in a technology focused career Infrastructure as code CICD Desire to work in a fast paced, changing environment Keywords: business intelligence rlang information technology Minnesota Data Ops Engineer || Need local candidtes with linkedin with recent work exp. in MN) WITH DL [email protected] https://jobs.nvoids.com/job_details.jsp?id=1401935&uid= |
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| 10:14 PM 16-May-24 |