Data Scientist
Draper, UT · On-site
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... Use Databricks to transform raw data into cognizable information. Use statistical analysis and ...
Data Scientist
Draper, UT · On-site
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... Use Databricks to transform raw data into cognizable information. Use statistical analysis and ...
Data Scientist
Draper, UT · On-site
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... Use Databricks to transform raw data into cognizable information. Use statistical analysis and ...
Data Scientist
Draper, UT · On-site
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... Use Databricks to transform raw data into cognizable information. Use statistical analysis and ...
Data Scientist
Draper, UT · On-site
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... Use Databricks to transform raw data into cognizable information. Use statistical analysis and ...
Data Scientist
Draper, UT · On-site
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... Use Databricks to transform raw data into cognizable information. Use statistical analysis and ...
Databricks Admin information
What are Databricks Admins?
Databricks Admins are IT professionals responsible for managing and configuring the Databricks platform within an organization. They handle user access, workspace setup, cluster management, security policies, and integration with cloud services. Their role is crucial in ensuring that the Databricks environment runs smoothly, securely, and efficiently for data teams. Admins also monitor resource usage, troubleshoot issues, and implement best practices for data processing and analytics workflows.
What are some common challenges a Databricks Admin faces when managing large-scale data pipelines?
As a Databricks Admin, one of the primary challenges is ensuring optimal cluster performance and resource utilization, especially when handling large and complex data pipelines. Admins must monitor job execution, manage user access, and troubleshoot issues related to data connectivity, cluster failures, or slow-running jobs. Additionally, maintaining data security and compliance across collaborative teams can be demanding, as it requires fine-tuning permissions and enforcing organizational policies. Strong communication with data engineers and analysts is essential to proactively address problems and optimize workflows.
What are the key skills and qualifications needed to thrive as a Databricks Admin, and why are they important?
To thrive as a Databricks Admin, you need a solid background in data engineering, cloud computing, and distributed systems, often supported by a degree in computer science or related field. Proficiency in Databricks platform management, Spark, Azure or AWS services, and relevant certifications like Databricks Certified Associate Developer are typically required. Strong problem-solving, communication, and collaboration skills help in effectively managing resources and supporting data teams. These skills ensure optimal platform performance, secure data workflows, and support for analytics initiatives across the organization.
What is the difference between Databricks Admin vs Data Engineer?
| Aspect | Databricks Admin | Data Engineer |
|---|---|---|
| Credentials | Databricks certifications, cloud platform knowledge | Programming skills, cloud certifications, data modeling |
| Work Environment | Cloud-based Databricks platform, administrative tasks | Data pipelines, ETL processes, coding environments |
| Employer & Industry | Tech companies, data-driven organizations using Databricks | Organizations building data infrastructure, analytics teams |
| Search & Comparison Intent | Understanding administrative roles in Databricks | Data pipeline development and data architecture |
While both roles work within data platforms, a Databricks Admin primarily manages and maintains the Databricks environment, focusing on platform configuration and user access. In contrast, a Data Engineer builds and maintains data pipelines, often utilizing Databricks for data processing. Both roles require cloud platform knowledge, but their core responsibilities differ significantly.
What are popular job titles related to Databricks Admin jobs in Utah? For Databricks Admin jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Databricks Admin jobs in Utah look for? The top searched job categories for Databricks Admin jobs in Utah are:
What cities in Utah are hiring for Databricks Admin jobs? Cities in Utah with the most Databricks Admin job openings:
Other
Posted 24 days ago
Job description
Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use Databricks to transform raw data into cognizable information. Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and dashboards to enable decision making. Evaluate implications of findings on business outcomes, and communicate and document work. Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI
Position requires a Master’s degree in Business Analytics or an equivalent field, and 2 years of experience as a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience with Databricks; experience with Supervised and Unsupervised Machine Learning; experience with SQL; experience with Python; experience with PySpark; experience with Statistical Analysis; experience with Predictive Analysis; and experience with Agile Methodology. #LI-DNI
Job location: Draper, UT.
Alternatively, please send your resume, cover letter, and a copy of the ad to: Amber Ivie, 12634 South 265 West, Draper, UT 84020.