Description:

The position is for a Senior Data Engineer with 6+ years of relevant industry experience in Data Engineering, specifically working with large scale data-driven systems.
The role requires expertise in designing data schemas and fine-tuning SQL queries around large, complex data sets.
Experience with AWS is essential for this position.
The Senior Data Engineer will design, build, and maintain data infrastructure that supports both batch and real-time processing of billions of records daily.
Responsibilities include improving the data quality and reliability of data pipelines through monitoring, validation, and failure detection.
The role involves designing, building, and maintaining a central data cataloging system to facilitate the integration and discovery of datasets.
The engineer will develop data pipelines that provide fast, optimized, and robust end-to-end solutions.
Automating manual processes and creating a platform for self-service data consumption is a key responsibility.
The position requires deploying and configuring components to production environments.
Participation in an on-call schedule to provide emergency incident support is expected.
The Senior Data Engineer will also mentor and train teammates on the design and operation of data platforms.
Staying current with industry trends and making recommendations to help the company excel is part of the role.

Requirements:

Candidates must have 6+ years of relevant industry experience in Data Engineering.
Expertise in designing data schemas and fine-tuning SQL queries around large, complex data sets is required.
Proficiency with AWS is necessary for this position.
Experience in designing, building, and maintaining data infrastructure for batch and real-time processing is essential.
Candidates should have a strong understanding of data quality and reliability improvement techniques for data pipelines.
Experience in creating and maintaining a central data cataloging system is required.
The ability to develop fast, optimized, and robust end-to-end data pipelines is necessary.
Candidates must be capable of automating manual processes and creating self-service data consumption platforms.
Experience in deploying and configuring components in production environments is required.
Candidates should be willing to participate in an on-call schedule for emergency incident support.
Mentoring and training skills for teammates on data platform design and operation are essential.
Staying updated with industry trends and making recommendations is expected.

The position offers the opportunity to work with cutting-edge technologies that revolutionize industries.
Employees will actively contribute to exciting projects that reshape data analytics for clients.
The role provides a chance to work in a dynamic team environment.
There is potential for professional growth and development through mentoring and training opportunities.
The company encourages staying current with industry trends, which can enhance career advancement.
The position is remote, providing flexibility in work location.