Remote Senior Data Engineer

Description:

• Redwood Materials is seeking a Senior Data Engineer to assist in modeling and managing data assets within a data lake architecture.
• The role involves overseeing the entire data lifecycle, from data ingestion to processing to consumption.
• Responsibilities include building and managing a data lake in AWS, creating and maintaining data pipelines from various sources using PySpark and AWS Glue, and generating data sets to support different use cases.
• The Senior Data Engineer will drive technical decisions on serving data consumers, leverage existing AWS architectures, and design new ones as necessary.
• Operationalizing data workloads in AWS, automating pipelines, and collaborating with cross-functional teams to understand business needs and design appropriate data flows are also part of the role.

Requirements:

• Bachelor’s degree in computer science, a related technical field, or equivalent practical experience is required.
• A minimum of 3 years of hands-on experience developing data solutions in a modern cloud environment is necessary.
• Proficiency in Python is essential.
• Experience in authoring and maintaining ETL jobs, with PySpark experience being a plus, is required.
• Familiarity with designing and interacting with relational and non-relational data stores is necessary.
• Experience with the AWS ecosystem, Infrastructure-as-code methodologies, and CDK is preferred.
• Demonstrated ability to manage production data workloads is a requirement for this position.

Benefits:

• This is a full-time position with compensation based on experience.
• The opportunity to join during a critical growth phase and contribute to building green field software experiences and capabilities.
• The chance to have a significant impact on the company’s day-to-day operations and scalability.
• Working with cutting-edge technologies and being part of a company focused on creating a circular supply chain for electric vehicles and clean energy products.