Data Engineer I

Description

Develop data automation tool for collection, processing, and storing lab data.

Set up, maintain, and monitor continuous operation client devices in labs.

Develop test scripts for various client devices.

Maintain software revisions through GitHub.

Build ETL for telemetry field dataset and automate data integrity and optimization routines for automatic reporting, analysis, and error detection.

Analyze user and experimental data and use engineering and analytical understanding to resolve battery problems.

Provide ad-hoc analysis as necessary.

Qualifications

1+ years of experience in software engineering/data science engineering.

Proficient in Python for data processing and analysis tool development.

Proficient in Linux/Unix (Bash and Shell).

Proficient in C for software development

Proficient in revision control software such as GitHub.

Strong working knowledge in designing, building, and maintaining data ETL pipeline.

Experience in SQL.

Experience in database modeling and data warehousing principles.

Familiarity with job scheduling system.

Experience in data science and analytics, statistical analyses, A/B testing and conducting experiments and investigations in large-scale usage data environment.

Self-started with a proven ability to handle multiple tasks with strict deadlines.

Proven creativity to go beyond current tools to deliver best solution to the problem.

Outstanding problem solving, critical thinking and interpersonal skills.