As an AWS Engineer, you will be a key contributor to our team, responsible for hands-on implementation and management of AWS services, especially focusing on big data and data lake solutions. Your role will involve not only technical expertise but also effective communication with business stakeholders.

Key Responsibilities:

• Utilize real-world, hands-on experience with AWS services, including API Gateway, Lambda, Redshift, EMR, CloudWatch, EC2, S3, and Aurora – PostgreSQL.
• Demonstrate above-average Python skills for scripting and automation tasks.
• Apply expertise in big data and data lake technologies.
• Act as the primary contributor to a significant big data lake implementation project.
• Serve as the face of the big data lake implementation, interacting with business stakeholders.
• Be comfortable dealing with diverse business teams and demonstrating a self-motivated approach.
• Take a hands-on role, utilizing keyboard skills for loading and data ingestion using our data lake framework.
• Potentially work with Apache Airflow for orchestrating data workflows.
• Apply solid data modeling experience to design and optimize data structures.
• Demonstrate proficiency in Git for version control, ensuring effective collaboration and code management.
• Proven real-world experience with AWS services, especially in the context of big data solutions.
• Above-average skills in Python for scripting and automation tasks.
• Hands-on experience with big data and data lake technologies.
• Ability to effectively communicate and engage with business stakeholders.
• Proficiency in data modeling to optimize data structures.
• Familiarity with Apache Airflow for orchestrating data workflows is a plus.
• Solid understanding of Git for version control.
• Self-motivated with the ability to take ownership of projects.