Data Engineer - Remote

Overview

As a Data Engineer, you will implement end-to-end data solutions that are highly available, maintainable, secure and cost-effective.

In Short

• Build scalable, highly available data pipes and data warehousing solutions.
• Passionate about solving complex problems with data.
• Create and socialize designs, lead design sessions, perform technical reviews.
• Design and build data models which produce high quality datasets.
• Maintain high quality engineering standards and practices.
• Diagnose and solve platform and data issues.
• Deliver analysis that distills clear insights from complex datasets.

Requirements

• 3+ years of relevant industry experience in data engineering.
• Experience translating business needs to scalable data solutions.
• Experience building data pipelines using AirFlow, Spark, EMR, Kafka, AWS Kinesis.
• Experience designing solutions on AWS, including infrastructure as Code.
• Experience with AWS compute resources such as Lambda and EC2.
• Experience with containers such as AWS ECR, ECS, and Docker.
• Experience with Cloud Data Warehousing technologies.
• Proven data modeling skills for data warehousing and analytics.
• Python and shell scripting experience for automation.
• Expert SQL skills for analysis.

Benefits

• Inclusive environment that empowers employees.
• Opportunity to work with a global team.
• Engagement in innovative projects.
• Support for professional growth and development.