Description:

The Data Operations Engineer is responsible for the development and maintenance of the data ecosystem, focusing on BI, Analytics, and business operations.
This role involves crafting data flows from various key systems to the data warehouse, emphasizing actionable data analytics applications.
The engineer will engage in various data engineering activities, connecting third-party and in-house systems to support key initiatives and ensure data quality and accessibility.
Responsibilities include building and maintaining robust ETL processes to integrate key systems for effective data funneling into the data warehouse.
The engineer will develop and maintain scalable and reliable data pipelines that meet operational and analytical needs while adhering to the overall data strategy.
Support for data transformation and migration will be provided, aligning with the dynamic needs of the business.
The role involves constructing datasets, performing complex data analysis, and preparing data sets for prescriptive and predictive modeling.
Collaboration with technical teams, including data scientists and architects, is essential to support the broader data strategy.
The engineer will recommend and implement improvements for data reliability, efficiency, and quality, promoting best practices in data management.

Requirements:

A strong understanding of business requirements and desired outcomes is essential for building and maintaining ETL processes.
Proficiency in developing scalable and reliable data pipelines is required to cater to operational and analytical needs.
Experience in data transformation and migration is necessary to align with business and operational requirements.
The candidate should have the ability to engage in various data engineering tasks, including constructing datasets and performing complex data analysis.
Collaboration skills are crucial for effective interaction with other technical teams to support data-driven initiatives.
A commitment to improving data reliability, efficiency, and quality is expected, along with a focus on best practices in data management.
Strong customer service skills are required, particularly in issue resolution and escalation management.
An innovative mindset with curiosity and inventiveness in enhancing data systems and processes is necessary.
The candidate should demonstrate ownership and accountability for deliverables, with a focus on continuous improvement.

The position offers the opportunity to work in a global team environment, contributing to significant data-driven initiatives.
Employees will have the chance to engage in innovative projects that enhance data systems and processes.
The role supports professional growth through collaboration with data scientists and architects.
The company promotes a culture of continuous improvement and high-quality work, providing a supportive environment for skill development.
Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.