Data Engineer

We are looking for a Data Engineer Intern 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

·      Create ETL pipelines using Python, Airflow 

·      Create real time data streaming and processing using Open source technologies like Kafka, Spark etc

·      Work on creating data pipelines to maintain Datalake in AWS or Azure Cloud

·      Work with systems that handle sensitive data with strict SOX controls and change management processes

·      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

·      Communicate technical and business topics, as appropriate, in a 360 degree fashion, when required; communicate using written, verbal and/or presentation materials as necessary.

·      Develop, enforce, and recommend enhancements to Applications in the area of ​​standards, methodologies, compliance, and quality assurance practices; participate in design and code walkthroughs.

·      Utilize technical and domain knowledge to develop and implement effective solutions; provide hands on mentoring to team members through all phases of the Systems Development Life Cycle (SDLC) using Agile practices.

Requirements

·      Requires a bachelor’s degree in computer science or equivalent discipline

·      Experience in Data Modelling 

·      Strong experience in Data Warehouse ETL design and development, methodologies, tools, processes and best practices

·      Experience in Big Data processing using Apache Hadoop/Spark ecosystem applications like Hadoop, Hive, Spark, Kafka and HDFS preferable

·      Knowledge of Machine learning is preferred.

·      Development experience in Open Source technologies like Python, Java

·      Excellent query writing skill and communication skills

·      Familiarity with common API’s: REST, SOAP