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:
Technical knowledge of BI systems design
Big data architecture and technology landscape
ETL orchestrations
BI Tools
Strong communications skills
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 3 to 5 years
related experience and/or training, or equivalent
combination of education and experience.
Those authorized in the United States are encouraged to apply. We are unable to sponsor at this time.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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