Senior Data Engineer
As a Senior Data Engineer at {company}, you will play a pivotal role in shaping the architecture and direction of our data infrastructure. This is a unique opportunity to drive significant change within our organization.
The team focuses on improving product engineering and helping customers manage refrigeration transport businesses efficiently and reliably.
We are seeking a highly motivated individual with extensive experience in data engineering, particularly within cloud ecosystems (AWS). Proficiency in Python, SQL, and Linux is required.
Your responsibilities will include designing, developing, and maintaining scalable data pipelines and ETL processes using open-source and AWS services.
* Design, develop, and maintain scalable data pipelines and ETL processes.
* Implement best practices for data management, governance, and security.
* Optimize and scale our data infrastructure to support growing data needs.
You will collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions. A strong understanding of large always-on enterprise system architecture, proficiency in Linux server environments, and experience with containerization technologies like Docker are essential.
This role offers excellent opportunities for technical and personal growth, empowering you to innovate using data mining and Machine Learning technologies to gather data insights.
Requirements:
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 5+ years of experience in data engineering or a related role.
* Strong proficiency in Python and SQL.
* Hands-on experience with cloud-based architectures and software stacks.
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience.