Description

You will design scalable data pipelines and analyze large-scale ADAS datasets to drive product improvements.

This role is hybrid.

Responsibilities

• Build and maintain scalable data pipelines using SQL and Dataform within the GCP BigQuery ecosystem.
• Analyze ADAS data to identify trends, anomalies, and performance insights for engineering teams.
• Optimize complex SQL queries to enhance performance, reduce costs, and ensure efficient processing.
• Create interactive dashboards and visualizations using BI tools such as Looker, Tableau, or Power BI.
• Translate analytical findings into actionable business narratives for stakeholders and product teams.

Required Skills

• Strong expertise in advanced SQL and Google BigQuery, including data modeling and query optimization.
• Hands-on experience with BI tools: Looker, Tableau, or Power BI.
• Proficiency in Python for data analysis.
• Working knowledge of Dataform or dbt for data transformation.
• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.
• Minimum 1 year of experience in data analytics or data engineering.

Preferred Skills

• Experience with large-scale ADAS or automotive datasets.
• Background in data storytelling and stakeholder communication.

Key Skills

Education

Any Graduate