Data Engineer - Data Analytics
Fremont, CA

Job Description

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

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.

Qualifications:

Minimum Qualifications:

3+ years of experience in Cloud Technologies like AWS or Azure

3+ years of experience in creating data pipelines using Python

3+ years of experience in Data Modelling

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

Preferred Qualifications:

3+ years of development experience in Open Source technologies like Python, Java

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

Excellent query writing skill and communication skills

Familiarity with common API's: REST, SOAP