Job Details

ID #51712949
Estado Minnesota
Ciudad Shoreview
Full-time
Salario USD TBD TBD
Fuente Robert Half
Showed 2024-05-16
Fecha 2024-05-17
Fecha tope 2024-07-16
Categoría Etcétera
Crear un currículum vítae
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Data Analyst/Engineer

Minnesota, Shoreview 00000 Shoreview USA
Aplica ya

Description We're seeking a skilled Data Ops Engineer who recognizes the pivotal role of data in driving business success. Working collaboratively with our Data Architecture and Data Engineering teams, you'll contribute to the design and implementation of solutions ensuring the consistent delivery of accurate and reliable data across our enterprise. Your responsibilities will include supporting and enhancing our data platform and associated tools to optimize existing data pipelines and facilitate the creation of new ones.Technical Platform Operations:

Employ Python and SQL to automate administrative tasks, leveraging APIs and CLIs to foster the growth of our data platform.

Collaborate closely with technical teams to understand and address their environment requirements effectively.

Administer cloud-native platforms such as Snowflake, Databricks, Qlik, Event Hubs, and Power BI, along with other Azure services.

Develop notification systems to ensure the operational integrity of cloud platforms, implementing alerts for timely issue detection.

Manage patching and upgrades to maintain platform efficiency and security.

Provide support for issue resolution and escalation as needed.

Generate reports on platform metrics, including adoption rates and alignment with business goals.

Create custom DevOps capabilities where existing tools or platforms lack built-in solutions.

Engage with software vendors to stay abreast of new platform capabilities and tools.

Establish and enforce platform-wide standards to ensure consistency and reliability.

Evaluate data pipeline alignment with established standards.

Monitor platform uptime to ensure optimal performance.

Participate in MVP and PoC initiatives to explore new technical capabilities.

Conduct root cause analysis to address platform issues effectively.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or related field.

Proven experience in data operations or a related field.

Proficiency in Python and SQL is required

Strong understanding of cloud-native platforms, particularly Snowflake, Databricks, Qlik, Event Hubs, and Power BI are preferred (not required)

Familiarity with DevOps principles and practices.

Excellent problem-solving and analytical skills.

Effective communication and collaboration abilities.

To be considered, please apply directly today!Requirements SQLPythonDocker (preferred)Power BI (preferred)Azure (preferred)Snowflake (preferred)Technology Doesn't Change the World, People Do.® Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.© 2024 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use (https:///www.roberthalf.com/us/en/terms) .

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