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Murphy USA, Inc.El Dorado, AR

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Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Entry-level
Remote
On-site

Job Description

Job Posting

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, PySpark)

Experience in the use of Infrastructure as Code tools (Databricks Asset Bundled,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

Strong communications skills

Comfort working in a fast-paced, multi-task environment

EDUCATION AND EXPERIENCE

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and relevant experience.

Demonstrated understanding of core technology disciplines, including but not limited to software development, database administration, systems architecture, cloud technologies, infrastructure, and related technical domains.

1-2 years of relevant experience in data engineering, data analytics, software development, database administration, or a related technical field.

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FAQs About 0.0 Jobs at Murphy USA, Inc.

What is the work location for this position at Murphy USA, Inc.?
This job at Murphy USA, Inc. is located in El Dorado, AR, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Murphy USA, Inc.?
Employer has not shared pay details for this role.
What employment applies to this position at Murphy USA, Inc.?
Murphy USA, Inc. lists this role as a Full-time position.
What experience level is required for this role at Murphy USA, Inc.?
Murphy USA, Inc. is looking for a candidate with "Entry-level" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What is the process to apply for this position at Murphy USA, Inc.?
You can apply for this role at Murphy USA, Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.