US Tech Solutions - Mountain View, CA

posted about 2 months ago

Full-time
Mountain View, CA
Administrative and Support Services

About the position

The PLX Data Engineer position at US Tech Solutions involves developing and maintaining data models, pipelines, and SQL scripts to facilitate the visualization, analysis, and interpretation of data. The ideal candidate will be responsible for operating a robust and stable infrastructure, collaborating closely with engineering teams and partners to drive continuous process improvements across various cross-functional partners. This role requires a proactive approach to data management, ensuring that data is discoverable and well-managed throughout its lifecycle. In this role, the Data Engineer will perform data analysis and profiling using relevant tools, leveraging the existing data infrastructure and data models with minimal guidance. The candidate will work directly with clients to identify their needs, clarify requirements, and enable data-driven decision-making by collecting, transforming, and publishing data. The position also emphasizes the importance of following and improving upon technical best practices, particularly in managing master data effectively. The successful candidate will have a strong background in data engineering, with at least three years of experience in the field. They will be adept at analyzing data, writing database queries (e.g., SQL), and creating dashboards and reports. Familiarity with data visualization tools such as PLX, Tableau, PowerBI, and Looker is essential, as is the ability to manage multiple projects with varying priorities. Strong communication and presentation skills are necessary to effectively deliver findings from data analysis to stakeholders.

Responsibilities

  • Operate a robust, stable infrastructure, working closely with Engineering teams and partners to continuously drive process improvements across various cross functional partners.
  • Perform data analysis and profiling using relevant tools, leveraging the data infrastructure, and existing data models with minimal guidance.
  • Work with clients to identify their needs and clarify requirements and enable data-driven decision-making by collecting, transforming, and publishing data.
  • Follow and improve upon the technical best practices, including making data discoverable, thinking about the lifecycle of data, and managing master data well.

Requirements

  • 3 years of experience in data engineering.
  • Experience with analyzing data, database query (e.g. SQL), and creating dashboards/reports.
  • Experience with design data pipelines and model data, for sync and async system integration, and implementation.
  • Bachelor's degree with quantitative focus or equivalent practical experience.

Nice-to-haves

  • Ability to manage multiple projects with varying priorities.
  • Strong communication and presentation skills to deliver findings of analysis.
  • Organizational and project management skills.
  • Familiarity with Ads products.
  • Knowledge of Data Visualization and dashboard tool - PLX, Tableau, PowerBI, Looker.
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