About the role
We are looking for a candidate with experience on creating Key Performance Indicator (KPI) dashboards and demonstrate analytical abilities to correlate information, providing insights to optimize our internal processes and decisions. In this role, you will identify data trends among data lakes and utilize data structures to generate forecasting that can help on future development or to identify critical behavior. You will interact with Google Cloud Platform (GCP) and logical views to increase the performance and efficiency of our current systems; research and document different processes that interact with implementation on Google AI studio and its requirements.
Purpose Statement: We are looking for a candidate with experience on creating Key Performance Indicator (KPI) dashboards and demonstrate analytical abilities to correlate information, providing insights to optimize our internal processes and decisions. In this role, you will identify data trends among data lakes and utilize data structures to generate forecasting that can help on future development or to identify critical behavior. You will interact with Google Cloud Platform (GCP) and logical views to increase the performance and efficiency of our current systems; research and document different processes that interact with implementation on Google AI studio and its requirements
Key Job Accountabilities:
- Baseline
- Basic Programming Skills: Foundational coding ability in any language.
- Data Analysis: Hands-on experience or familiarity with data libraries like Pandas or Seaborn.
- Data Handling: Baseline comfort working with JSON for configuration and data handling.
- OOP: Basic understanding of OOP paradigm(
- Cloud & AI Tooling (Entry-Level)
- AI Developer Tools: Familiarity or interest in utilizing Gemini tools to assist with coding efficiency or documentation workflows.
- Nice-to-Have Skills
- Azure DevOps (ADO): A basic understanding of ADO Boards (task tracking) and ADO Repos (code repositories).
- Git: Knowledge of basic Git commands and a conceptual understanding of branches and repository navigation.
- Google AI/Agents**:** Exposure to or interest in interacting with Vertex AI.
- Curiosity: A basic curiosity or background interest in how technology integrates with data.
- Cloud Infrastructure: A basic, introductory understanding of cloud environments. Exposure to Google Cloud Platform (GCP), experience with BigQuery is highly preferred.
Education/Experience Qualifications:
- Student working toward a Bachelor’s degree or Associates Degree in related field.
- Bachelor's Degree in Data Science
Artificial Intelligence and Data Science Engineering
Artificial Intelligence Engineering
Software Engineering
Information Technology Engineering
This document does not represent a contract of employment and is not intended to capture every possible assignment the incumbent could be asked to perform.
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