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Data Engineer
Apply
$98k-121k (estimate)
Full Time 1 Week Ago
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Kaizen Technologies is Hiring a Data Engineer Near Houston, TX

Job Title: Data Engineer (Full time) 

Location: Houston, TX (Onsite) USA

Band: U3

Year of Experience: 5 to 7 Years

Duration: 6 Months (Will be extended for 12 months)

No Of Positions: 15-20 (3 positions is needed in a month time.) in one Quarter time.

110K to 130K PA

 Responsibilities- High Level

  1. Connect and Collect data exploration and preparation.
  2. Transform and Enrich data representation and transformation.
  3. Publish and Serve Publish data.
  4. Monitor data pipelines and solutions 

Responsibilities- Detail

  • Developing, building, maintaining, and managing data pipelines work with large dataset, databases and software used to analyze them. Fluent with Azure data tools and component. Primary focus to ensure that data flows smoothly from its source to its destination efficiently and securely.
  • Demonstrate experience in programming scripting (e.g. Python, SQL).
  • Demonstrate experience Analytics/data product solution architecture on Azure (Azure data Factory, Data bricks).
  • Handson experience in data extract, load and transformation techniques and tools including orchestration of needed azure resources.
  • Ensuring the accuracy of data and promoting data quality.
  • Building, testing, and maintaining database pipeline Architecture.
  • Demonstrated experience in Data and Software Engineering tools and Agile methodologies (e.g. Agile, ADO,Ansible,G/T)
  • Demonstrated experience in Analytica Data framework and Azure Analysis Services

Skills:

  • Modern Data Warehousing
  • Data flow transformations
  • Implement and design data engineering and integration patterns: messaging, shared databases, file, service based.
  • Data security design - authorization, sharding, allocations, authentication
  • Database systems and large-scale processing systems
  • Consume and develop data-driven APIs.

Job Summary

JOB TYPE

Full Time

SALARY

$98k-121k (estimate)

POST DATE

05/06/2024

EXPIRATION DATE

05/19/2024

WEBSITE

kaizentek.com

HEADQUARTERS

ASHBURN, VA

SIZE

50 - 100

FOUNDED

1995

TYPE

Private

CEO

KALYAN CHINTALA

REVENUE

$10M - $50M

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About Kaizen Technologies

Kaizen Technologies specialized in providing staffing and project implementation products and services.

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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.

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.

03/28/2022: New Suffolk, NY

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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