Sr. Data Engineer – Markham, ON

Tesla

  • Full Time

Responsibilities

Responsible for performing advanced analytics, creating infrastructure and data pipelines, developing predictive models and making data applications that enable cross functional teams to leverage a wealth of manufacturing, equipment and cell data both efficiently and effectively. In this role, you will focus on building data pipelines and infrastructure that power data science systems, tools, software and applications for the Cell Manufacturing team.

Requirements

· B.S. degree or higher in quantitative discipline (e.g. Computer Science, Mathematics, Physics, Electrical Engineering, Statistics, Industrial Engineering) or the equivalent in experience and evidence of exceptional ability

· 3+ years of work experience in data engineering and platform engineering

· Extensive experience developing software

· Works well under pressure while collaborating and managing competing demands with tight deadlines

· A passion and curiosity for data and data-driven decision making

· Drive to introduce predictive models that can be used for production decision making assistance

· Possess a high level of attention to detail and professionalism in report creation

· Be a team player and have the ability to collaborate well across diverse functional groups

· Strong verbal and written communication skills to manage and communicate the health and integrity of the data and systems

· Experience with Supervisory Control and Data Acquisition Systems, Manufacturing Execution Systems, and high volume manufacturing where automated assembly is performed is a plus

· Understanding of software and database design in order to work closely with a development team to translate business needs into software solutions

Preferred Qualifications

· Data mining and database experience (e.g. Presto, AWS, SQL)

· Data visualization experience (e.g Tableau, Power BI, Grafana)

· Software development experience (e.g. Python, JavaScript, R)

· RESTful and RPC-based API experience (e.g. gRPC)

· Workflow management and automation (e.g. Airflow)

· Data pipeline experience (e.g. Kafka)

· Statistical software experience (e.g. JMP, Minitab)