Data Engineer 1

Daikin Comfort Technologies

Waller, TXOn-siteFull time
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Location
Waller, TX
Work style
On-site
Job type
Full time
Posted
Oct 20
2 days ago
Career path

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About the company

Daikin Comfort Technologies

Mechanical or industrial engineering · 10,001+ employees

Daikin Comfort Technologies on LinkedIn

What you'll do

  • Identify, design, and implement internal process improvements
  • Build infrastructure for extraction, transformation, and loading of data
  • Assist stakeholders with data-related technical issues and infrastructure needs
  • Work with data and analytics experts to improve functionality in data systems
  • Develop ways to improve data quality, reliability, and efficiency
  • Perform additional projects and duties to support ongoing business needs

What you need

  • Bachelor’s degree in Engineering, Data Science, or Computer Science
  • May consider equivalent and relevant work experience with formal training and certifications
  • Knowledge of programming languages, database apps, and tools
  • Demonstrated analytical, quantitative, and creative problem-solving skills
  • Effective written and verbal communication skills
  • Effective organizational and time-management skills, including prioritization
  • Solid collaboration abilities

Key skills

SQLAWS ‘big data’ technologiesprogramming languagesdatabase apps and toolsanalyticalquantitativecreative problem solvingwritten & verbal communicationorganizational & time managementcollaboration abilities

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Read the full posting here
The Data Engineer is responsible to put in place the framework for a Modern, Simple, Accurate and Secure Data Environment that connects data across the company and sets data up as an asset to the company. Data Engineers will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Data engineers implement methods to improve data reliability and quality. Position Responsibilities may include: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.  Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies  Work with stakeholders including the Executive, Manufacturing, Sales and Marketing teams to assist with data-related technical issues and support their data infrastructure needs  Work with data and analytics experts to strive for greater functionality in our data systems  Develop ways to improve data quality, reliability, and efficiency  Perform additional projects/duties to support ongoing business needs. Nature & Scope: Possesses a broad theoretical job knowledge typically obtained through advanced education Has no discretion to deviate from established procedures by performing structured work assignments Work is closely supervised Problems faced are not typically difficult nor complex Explains facts, policies and practices related to job area Knowledge & Skills:: Knowledge of programming languages and applications & database apps and tools  Demonstrated analytical, quantitative & creative problem solving skills  Effective written & verbal communication skills  Effective organizational & time management skills including prioritization  Solid collaboration abilities; professional & diplomatic team builder  Ability to work independently on multiple tasks and projects, with various teams including Engineering, Sales, IT, Finance, Marketing, Manufacturing, Logistics, etc.  Ability to apply good judgment, strong work ethic, and integrity on the job. Experience: Entry level Education/Certification: Bachelor’s degree in Engineering, Data Science, Computer Science or may consider equivalent & relevant work experience with formal training and certifications  People Management: No Physical Requirements / Work Environment: Must be able to perform essential responsibilities with or without reasonable accommodations Reports To: Director, Data Management & Strategy The Company provides equal employment opportunity to all employees and applicants regardless of a person’s race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes about individuals with disabilities.

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