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Daikin Comfort North America
WALLER, TX | Full Time
$72k-96k (estimate)
1 Month Ago
Daikin Comfort North America
WALLER, TX | Full Time
$71k-100k (estimate)
5 Days Ago
Daikin Comfort North America
WALLER, TX | Full Time
$71k-100k (estimate)
5 Days Ago
Daikin Comfort North America
WALLER, TX | Full Time
$87k-109k (estimate)
1 Month Ago
DAIKIN COMFORT TECHNOLOGIES MFG LP
Waller, TX | Full Time
$98k-122k (estimate)
1 Month Ago
Daikin Comfort North America
WALLER, TX | Full Time
1 Week Ago
Daikin Comfort North America
WALLER, TX | Full Time
1 Week Ago
Daikin Comfort North America
WALLER, TX | Full Time
1 Week Ago
Daikin Comfort North America
WALLER, TX | Full Time
$97k-118k (estimate)
2 Weeks Ago
Daikin Comfort North America
WALLER, TX | Full Time
$66k-81k (estimate)
1 Month Ago
Daikin Comfort North America
WALLER, TX | Full Time
$81k-97k (estimate)
1 Month Ago
Daikin Comfort North America
WALLER, TX | Full Time
$109k-148k (estimate)
1 Week Ago
Data Engineer 1
$72k-96k (estimate)
Full Time 1 Month Ago
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Daikin Comfort North America is Hiring a Data Engineer 1 Near WALLER, TX

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 
  • Train and support marketing staff on interpreting results of analytics and leading data culture change
  • Required to draw performance reports and strategic proposals from his gathered knowledge and analyses result for senior data science leadership
  • Build scalable data processing platforms that he uses for exploratory data analysis and real-time analytics
  • Retrieves and analyzes data using Snowflake, SQL, and Excel, among other data management systems
  • Builds data loading services for the purpose of importing data from numerous disparate data sources, inclusive of APIs, logs, relational and non-relational databases
  • Performs similar duties as he deems fit for the proper execution of his duties and duties as delegated by the senior data science leadership
  • Perform additional projects/duties to support ongoing business needs

Nature and 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 
  • Proficient in MS Office, especially Excel; ability to translate data insights into PowerPoint presentations
  • Proficient in solving complex business problems involving a heavy amount of analytics/data science
  • Marketing-based experience preferred but not required (either D2C or B2B performance marketing)
  • Demonstrated analytical, quantitative & creative problem-solving skills
  • Effective written & verbal communication skills
  • Effective organizational & time management skills, including prioritizing skills
  • 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:

  • 0-2 years of work experience in a Data team / Data Analyst / Business Analyst / Data Science role
  • Demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms, as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Snowflake, etc.

Education:

  • Bachelor’s degree in Engineering, Data Science, Computer Science or may consider equivalent & relevant work experience with formal training and certifications

Physical Requirements / Working Environment:

  • Must be able to perform essential responsibilities with or without reasonable accommodations

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.

Job Summary

JOB TYPE

Full Time

SALARY

$72k-96k (estimate)

POST DATE

04/06/2024

EXPIRATION DATE

07/06/2024

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Daikin Comfort North America
Full Time
$75k-104k (estimate)
2 Days Ago

The job skills required for Data Engineer 1 include SQL, Data Engineering, AWS, Big Data, Computer Science, Insight, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer 1. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer 1. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer 1 positions, which can be used as a reference in future career path planning. As a Data Engineer 1, it can be promoted into senior positions as a Database Engineer II that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer 1. You can explore the career advancement for a Data Engineer 1 below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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