GENERAL DESCRIPTION OF POSITION
The Data Engineer is responsible for development and support of data products on a modern cloud-based data lake, leveraging expertise and knowledge of multiple technologies & data domains to help build a robust, scalable, and reliable data engineering platform.

Additionally, a Data Engineer is responsible for providing data services for enterprise-grade analytical environments, utilizing automated data pipelines at scale, and streamlining efficient data transformations for priority use cases. This role can be involved hands on in development of the codebase and partners with business units and peer technology groups to support analytics execution.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Partner across the organization to architect, implement, deploy, and maintain data-driven systems solutions
• Build, maintain and simplify enterprise data pipelines with emphasis on security, reusability & data quality.
• Perform debugging and fixing application issues, root cause analysis, and help in proactive/preventive maintenance. Help in technical debt reduction and follow clean code principles
• Development experience in one or more languages (e.g. Python, SQL, Scala, R, C#, Java, Rust)
• Experience in the use of Infrastructure as Code tools (Terraform)
• Engagement in data governance council to define, develop, and review standards, guidelines, and data models to promote data quality and best practices
• Leverage DevOps tools to automate deployment and validation/test automation of data engineering pipelines.
• Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies defects and creates solutions for issues with code and integration into data system architecture.
• Effectively plan and collaborate with technical and non-technical teams on business initiatives

QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required:
o Technical knowledge of BI systems design
o Big data architecture and technology landscape
o ETL orchestrations
o BI Tools
o Strong communications skills
o Comfort working in a fast-paced, multi-task environment

EDUCATION AND EXPERIENCE
Broad knowledge of technical capabilities such fields as development, database administration, architecture, Etc. Equivalent to a four-year college degree, plus 1 to 2 years related experience and/or training, or equivalent combination of education and experience.