Senior Data Engineer - Remote

Overview

As a Senior Data Engineer, you will design, build, and implement large-scale data pipelines for our Sport Performance products, utilizing tools like Nifi and AWS.

In Short

• Design and develop scalable Nifi ingestion pipelines within AWS.
• Ensure seamless integration of AWS-based tools for data storage and analytics.
• Responsible for ETL development using Python and Java.
• Implement monitoring and error handling for data pipelines.
• Conduct data analytics and debugging using SQL.
• Collaborate with engineering teams to drive scalability.
• Utilize Kafka for data storage and movement.
• Build automated data cleaning processes.
• Work in a self-driven, independent manner.
• Follow best practices in Data Engineering.

Requirements

• Master’s degree in computer science or related field.
• 1 year experience as a data engineer or related role.
• Experience with Python, Java, Kafka, AWS, and Docker.
• Familiarity with ETL development and warehousing.
• Proficiency in analytics and debugging using SQL.
• Experience in an Agile development environment.
• Ability to design data architecture.

Benefits

• Collaborative environment with global colleagues.
• Flexibility to manage your workday and tasks.
• Vibrant and inclusive community.
• Global Employee Assistance Programme.
• Access to well-being apps.
• Online training resources.
• Flexible working hours.