Tesla careers data engineer job applications for Tesla careers data engineer job 2023 in multiple locations. Here is everything that you need to know about Tesla careers data engineer job Opportunity 2023!
Hello, ambitious job seekers! In the dynamic world of technology and innovation, one company stands as a beacon of progress: Tesla. If you’re a data enthusiast with a passion for quality analytics and systems, you’re in for an exciting ride.
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About Tesla careers data engineer job
Joining Tesla as a Data Engineer means becoming an integral part of a cutting-edge team that is revolutionizing the automotive and energy industries. As a Data Engineer at Tesla, you’ll play a pivotal role in shaping the future of sustainable transportation and energy solutions. Your responsibilities will include designing, implementing, and maintaining scalable data infrastructure to support Tesla’s vast array of applications and services Tesla careers data engineer job.
In this dynamic role, you will collaborate closely with cross-functional teams to understand data requirements and contribute to the development of robust data pipelines. Tesla’s commitment to innovation extends to its data practices, where you’ll leverage state-of-the-art technologies to drive insights and support data-driven decision-making. This position offers a unique opportunity to contribute to Tesla’s mission of accelerating the world’s transition to sustainable energy while honing your skills in a fast-paced and forward-thinking environment.
As a Tesla careers data engineer job, you’ll be at the forefront of the company’s data initiatives, working with massive datasets and leveraging your expertise to ensure the seamless flow of information critical to Tesla’s operations and innovations. If you’re passionate about technology, data, and making a positive impact on the world, Tesla’s Data Engineer position provides an exciting platform to propel your career to new heights.
What you’ll be doing
- Collaborate with cross-functional problem-solving teams to drive process systems, analytics, data engineering improvements; use of effective QA methodologies to manage and facilitate issue resolution including root cause investigations and the development, implementation and monitoring of effective corrective and preventive actions
- Establish and maintain guidelines for analytics/data engineering, QA, change management and metric/project documentation best practices and ensure team adheres to those standards
- Design and implement metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights
- Analyze manufacturing, equipment, and vehicle data to extract useful statistics and insights about failures in order to drive meaningful improvements to production quality and customer experience
- Interpret trends in manufacturing, equipment, and vehicle data, analyzing results using statistical techniques and depicting the story via dashboards and reports
- Automate analyses and author pipelines using SQL, Python, Airflow, and Kubernetes based ETL frameworks
- Monitor key product metrics, understanding root causes of changes in metrics
- Drive underlying data systems improvement by working with key cross-functional stakeholders
- Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering to data processing and modeling
- Contribute to all stages of the factory and service quality data modeling including but not limited to problem formulation, data pre-processing, feature engineering, sample design, algorithm selection and evaluation, hyper-parameter tuning, deployment, implementation, and monitoring
What you should have
- Bachelor’s Degree in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics or another technical field, or equivalent experience
- 1-2+ years of work experience in data analytics or engineering related field
- Knowledge of SQL and experience with multiple data architecture paradigms (MySQL, MicrosoftSQL, Vertica, Oracle, kafka, Spark) with proficiency in Python, text processing, and python data analysis packages (eg. pandas, numpy)
- Knowledge of data visualization techniques and tools using Tableau, Power BI, Superset, Matplotlib, Plotly etc
- Understanding of various statistical techniques to effectively summarize data findings with strong knowledge of data warehousing concepts as well as data mining tools and techniques
- Proficiency in using open-source ML toolkits (eg. Pytorch, Tensorflow) and building NLP applications, with Strong ML and NLP fundamentals
- Knowledge of manipulating big data with Apache Spark (Python or Scale APIs)
- Able to work under pressure while collaborating with cross-functional teams and managing competing demands with tight deadlines
- Excellent communication skills 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
Location of the Role
Locations : Fremont, California United States
Application Deadline:
Recruit on a rolling basis so application is encouraged as soon as possible.
Last date to apply the Role
Application last date : Application Process and Deadlines In order to be considered, candidates must apply to the Tesla careers data engineer job careers website.
How To Apply ?
Click to Apply Tesla careers data engineer job Apply Now” 2023
