The Role
We are looking for a Data Engineer to be part of our Applications Engineering team. This person will design, develop, maintain and support our Enterprise Data Warehouse & BI platform within Tesla using various data & BI tools, this position offers unique opportunity to make significant impact to the entire organization in developing data tools and driving data driven culture.

Responsibilities:
• Work in a time constrained environment to analyze, design, develop and deliver Enterprise Data Warehouse solutions for Tesla’s Sales, Delivery and Logistics Teams.
• Setting up, maintaining and optimizing bigdata platform for production usage in reporting, analysis and ML applications.
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
• Create ETL pipelines using Spark/Flink.
• Create real time data streaming and processing using Open source technologies like Kafka , Spark etc.
• Develop collaborative relationships with key business sponsors and IT resources for the efficient resolution of work requests.
• Provide timely and accurate estimates for newly proposed functionality enhancements
critical situation.
• Develop, enforce, and recommend enhancements to Applications in the area of standards, methodologies, compliance, and quality assurance practices; participate in design and code walkthroughs.

Qualifications:
Minimum Qualifications:
• Proficient experience in building large scale Spark batch applications.
• Must have strong experience in Data Warehouse ETL design and development, methodologies, tools, processes and best practices.
• Strong experience in stellar dashboards and reports creation for C-level executives.
• Have a good understanding on one module, one id and one service.

Preferred Qualifications:
• 3+ years of development experience in Open Source technologies like Scala, Java.
• Excellent Experience with Hortonworks/Cloudera platforms.
• Practical experience in using HDFS.
• Relevant working experience with Docker and Kubernetes preferred.