Description

Build and maintain data automation tools for the collection, processing, and storage of laboratory data. You will own the release pipeline, monitor client devices, and optimize data integrity routines.

Responsibilities

• Develop automation tools for collecting, processing, and storing lab data.
• Build ETL pipelines for telemetry field 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