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Data Engineer
DataAffect Plano, TX
$113k-139k (estimate)
Full Time 4 Days Ago
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DataAffect is Hiring a Data Engineer Near Plano, TX

Job Details

Job Role : Data Engineer (33404-1 ) (33405-1) (33407-1) (33408-1) (33409-1)(33410-1) (33414-1)(33415-1) (33416-1)
Location : Hybrid in Plano - TX (Locals)
Duration : 6 Months Contract possibility of extension
Job description: -
Data Engineer
Experience : 5 to7 Yrs.
Required Skills : Unix,Python,PySpark,SQL,AWS
Job summary:-
As a Data Engineer with 5 to 7 years of experience, you will play a pivotal role in analyzing business processes and leveraging data to drive strategic decisions.
Your expertise in Python, PySpark, AWS, SQL, and Unix will be crucial in optimizing our data infrastructure and ensuring seamless business operations.
You will collaborate with cross-functional teams to deliver impactful insights and solutions.

Roles & Responsibilities :-

Analyze business processes to identify areas for improvement and optimization.
Develop and maintain data pipelines using Python and PySpark to ensure efficient data processing.
Utilize AWS services to manage and deploy scalable data solutions.
Write and optimize SQL queries to extract and manipulate data for analysis.
Implement Unix scripts to automate routine tasks and enhance system performance.
Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Provide actionable insights through data analysis to support strategic decision-making.
Create and maintain comprehensive documentation for data processes and business workflows.
Conduct data validation and quality checks to ensure accuracy and reliability of data.
Lead data-driven projects from inception to completion, ensuring timely delivery and alignment with business goals.
Communicate findings and recommendations to both technical and non-technical audiences.
Stay updated with industry trends and best practices to continuously improve data solutions.
Work closely with IT and development teams to integrate data solutions into existing systems
Qualifications:-
- Possess strong analytical skills with the ability to interpret complex data sets.
- Demonstrate proficiency in Python and PySpark for data processing and analysis.
- Have hands-on experience with AWS services for data management and deployment.
- Show expertise in writing and optimizing SQL queries for data extraction and manipulation.
- Be skilled in Unix scripting for automation and system performance enhancement.
- Exhibit excellent communication skills to effectively collaborate with cross-functional teams.
- Display a proactive approach to problem-solving and continuous improvement.
- Hold a Bachelors degree in Computer Science, Information Technology, or a related field.
- Have a proven track record of delivering data-driven projects on 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.

Job Summary

JOB TYPE

Full Time

SALARY

$113k-139k (estimate)

POST DATE

07/03/2024

EXPIRATION DATE

09/02/2024

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

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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 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.

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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.

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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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