Remote Senior AWS Data Engineer

Description:

• Build and manage a data lake in AWS, enhancing the existing LakeFormation based architecture.
• Develop and maintain data pipelines from various sources like streaming datasets, APIs, and data stores using PySpark and AWS Glue.
• Create datasets from the data lake to support different use cases such as business analytics, dashboards, reports, and machine learning.
• Make technical decisions on serving data consumers efficiently.
• Utilize existing AWS architectures and create new ones using the CDK toolkit.
• Automate data workloads in AWS, including pipeline automation and monitoring implementation.
• Collaborate with cross-functional teams to understand business needs and design appropriate data flows.

Requirements:

• Bachelor’s degree in computer science, a related technical field, or equivalent practical experience.
• Minimum 3 years of hands-on experience developing data solutions in a modern cloud environment.
• Proficiency in Python.
• Experience in creating and maintaining ETL jobs (experience with PySpark is a plus).
• Familiarity with relational and non-relational data stores.
• Knowledge of AWS ecosystem, Infrastructure-as-code methodologies, and CDK.
• Ability to manage production data workloads effectively, including issue detection, diagnosis, and monitoring.
• Passion for excellence and contributing to a sustainable world.

Benefits:

• Full-time position.
• Compensation based on experience.
• Opportunity to join a company focused on creating a circular supply chain for electric vehicles and clean energy products.
• Chance to work on critical growth projects with a significant impact on day-to-day operations and scalability.