Description

Build and maintain data automation tools for laboratory data collection, processing, and storage.

This role is on-site.

Responsibilities

• Develop automation tools for collecting, processing, and storing lab data.
• Build ETL pipelines for telemetry datasets and automate data integrity checks.
• Set up, maintain, and monitor continuous operation client devices in lab environments.
• Develop test scripts for client devices and manage software revisions via GitHub.
• Analyze user and experimental data to resolve battery-related problems using engineering methods.

Required Skills

• 1+ years of experience in software engineering or data science engineering.
• Proficiency in Python for data processing and tool development.
• Strong knowledge of building and maintaining ETL pipelines.
• Proficiency with SQL and database modeling.
• Experience with data warehousing principles and job scheduling systems.
• Proficiency in Linux/Unix using Bash and Shell.
• Proficiency in C for software development.
• Experience with data science, statistical analyses, and A/B testing.
• Proficiency with GitHub for version control.

Preferred Skills

• Ability to handle multiple tasks under strict deadlines.

Key Skills

Education

Any Graduate