Remote Senior Data Engineer

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer. In this role, you will push the boundaries of technology while working remotely in your own comfortable environment. You will be part of a dynamic team that drives innovation and improvements in data engineering and analytics across the globe. The right candidate will take charge of developing and maintaining robust data infrastructures and pipelines, ensuring high-quality data flow and validation processes. Your contributions will directly impact how data is utilized across functional teams, making you a key player in our evolution toward a data-driven culture.

In Short

• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Ensure accuracy and consistency of data processing, results, and reporting
• Design cloud-native data pipelines, automation routines, and database schemas for machine learning
• Communicate ideas clearly, both verbally and through concise documentation
• Guide and mentor other Data Engineers as a technical owner of parts of the data platform

Requirements

• Expert knowledge of Python
• Expert knowledge of SQL
• Experience with DevOps mode of work
• 7+ years of professional experience
• 5+ years of experience working in data engineering, business intelligence, or a similar role
• 5+ years of experience in ETL orchestration and workflow management tools like Airflow, flink, etc. using AWS/GCP
• 3+ years of experience with distributed data processing tools like Spark, Presto, etc. and streaming technologies such as Kafka/Flink
• 3+ years of experience with SnowFlake (preferred) or another big data database platform
• 3+ years of experience with cloud service providers: Amazon AWS (preferred) or other major clouds
• Expertise with containerization orchestration engines (Kubernetes)
• MS in Computer Science, Software Engineering, or relevant field preferred, BS in one of same fields acceptable

Benefits

• Fully remote workspace with no pressure to work in an office
• Flexible working hours to balance life and work
• Opportunity to work in a fast-growing and energizing team
• Culture that encourages employees to be themselves and take risks
• Commitment to employee happiness and empowerment