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Data Engineer, Quality Data Analytics & Systems

Company: Tesla
Location: Fremont
Posted on: November 23, 2022

Job Description:

What to Expect


Tesla's mission is to accelerate the world's transition to sustainable energy. We are committed to hiring the world's best and brightest people to help make this future a reality. Every Tesla is designed to be the safest, quickest car in its class-with industry-leading safety, range, and performance. Quality Engineering team plays a key role in ensuring safety of our customers by providing world class Quality of our products. Quality Systems and Analytics team is looking for a key player on the team who can help drive Quality data analytics and help cross-functional engineering organizations to provide opportunities in product quality improvements. Candidate should have experience working with large data sets, finding best ways to engineer the data to help create critical KPI metrics, building innovative visualizations and dashboards all the while keeping in mind what improvements can be driven in underlying data systems.


What You'll Do

Analyze manufacturing, equipment and vehicle data and extract useful statistics and insights about failures in order to drive meaningful improvements to production quality and customer experience

Work effectively with engineers and conducting end-to-end analyses, from data requirement gathering, to data processing and modeling

Interpret data, analyze results using statistical techniques and provide ongoing reports

Monitoring key product metrics, understanding root causes of changes in metrics

Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis

Maintaining existing data visualizations, data pipelines and dashboard enhancement requests

Automating analyses and authoring pipelines using SQL, Python, Airflow, Kubernetes based ETL framework

Drive underlying data systems improvement by working with key cross-functional stakeholders

Perform data quality validations to ensure data creation is as per the business needs and expectations

Work with management to prioritize business and information needs

What You'll Bring

BS/MS in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics or another technical field. Equivalent experience also acceptable.

3+ years of work experience in data analytics or engineering related field

Strong knowledge of SQL and experience with multiple data architecture paradigms (MySQL, MicrosoftSQL, Vertica, Oracle, kafka, Spark)

Proficient at ad-hoc analysis using SQL queries, python data analysis packages (e.g.Pandas, Numpy), report writing and presenting findings

Strong knowledge of data visualization techniques and tools using Tableau, Power BI, Superset, Matplotlib, Plotly etc.

Strong understanding of various statistical techniques to effectively summarize data findings

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Strong knowledge of data warehousing concepts, data mining tools and techniques

Knowledge of manufacturing and service operations preferred

Able to work under pressure while collaborating and managing competing demands with tight deadlines

Excellent communication skill and ability to work with different business stakeholders to understand, identify and translate business challenges into data projects

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

Keywords: Tesla, Fremont , Data Engineer, Quality Data Analytics & Systems, Other , Fremont, California

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