Description

Design, develop, and optimize scalable data pipelines and analytics solutions for ADAS datasets using Google BigQuery and SQL.

This role is hybrid.

Responsibilities

• Design and develop scalable data pipelines using SQL and Dataform within the GCP BigQuery ecosystem.
• Analyze large-scale ADAS datasets to identify trends, anomalies, and performance insights.
• Optimize complex SQL queries to improve performance, reduce costs, and ensure efficient data processing.
• Build interactive dashboards and visualizations using BI tools like Looker, Tableau, or Power BI.
• Translate analytical findings into actionable insights and clear business narratives for stakeholders.

Required Skills

• 5+ years of experience in data analytics or data engineering.
• Strong expertise in advanced SQL and Google BigQuery.
• Hands-on experience in data modeling, query optimization, and large-scale data analysis.
• Proven experience with BI tools (Looker, Tableau, or Power BI) and data storytelling.
• Working knowledge of Dataform/dbt.
• Proficiency in Python for data analysis.
• Bachelor’s degree in data science, Computer Science, Engineering, or a related field.

Key Skills

Education

Any Graduate