Design, code, test, correct and document programs and scripts using agreed standards and tools to achieve a well-engineered result. Derive an overall strategy of data management, within an established information architecture that supports the development and secure operation of existing and new information and digital services. Plan effective data storage, security, sharing and publishing within the organization. Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks. Ensures data quality and implements tools and frameworks for automating the identification of data quality issues. Collaborate with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings. Mentor and lead data engineers providing technical guidance and oversight.
Strong background in data modeling, data access, and data storage techniques
Experience in Spark Framework on both batch and real-time data processing is a plus
Experience in Supply Chain and Logistics data is a plus
Working experience with Kafka Streaming layer
Python
Kafka
Vertica
Informatica
Time Management Skills
Spark Framework
Big Data Integration & Analytics
Detail Oriented
Driven and self-motivated
Organizational skills
Problem-solving and resourcefulness
Flexibility/Adaptability
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Data Engineer is between $90,000 and $145,000 per year. This range can vary based on experience level, location, and other factors.
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Tesla, Inc., is an American electric vehicle and clean energy company based in Palo Alto, California. The company specializes in electric vehicle manufacturing, battery energy storage from home to grid scale and, through its acquisition of SolarCity, solar panel and solar roof tile manufacturing.

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