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Data Engineer I: 24-01317
Akraya Inc. New York, NY
$105k-135k (estimate)
Full Time 1 Week Ago
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Akraya Inc. is Hiring a Data Engineer I: 24-01317 Near New York, NY

Primary Skills: SQL, AWS, ETL Pipelines
Contract Type: W2
Duration: 5 Months (Possible to extension)
Location:New York, NY ()
Pay Range:$40.00 – $50.00 per hour
Grow your skills by working with industry leaders”Job Responsibilities
  • Develop and support the analytic technologies for timely, flexible, and structured data access.
  • Contribute to a high-performance team with a complete business charter to enhance Amazon Consumer business profitability.
  • Research and implement new technologies to sustain our scalability and future growth.
  • Work on integrating P&L data within Ripple to support decision-makers across Amazon.
  • Support the migration of P&L data to Amazon's Chronical Platform by Q3/Q4 target dates.
JOB REQUIREMENTS:
  • Profound experience with AWS technologies including Redshift, S3, AWS Glue, and more.
  • Skilled in data modeling, warehousing, and building ETL pipelines.
  • Proficiency in SQL, EMR, QuickSight, and Python.
ABOUT AKRAYAAkraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a positive work environment. Voted the #1 Best Place to Work in Silicon Valley (2023) and a Glassdoor Best Places to Work (2023 & 2022), Akraya prioritizes a culture of inclusivity and fosters a sense of belonging for all team members. We are staffing solutions providers for Fortune 100 companies, and our industry recognitions solidify our leadership position in the IT staffing space. Let us lead you to your dream career, join Akraya today!

Job Summary

JOB TYPE

Full Time

SALARY

$105k-135k (estimate)

POST DATE

06/19/2024

EXPIRATION DATE

07/10/2024

WEBSITE

Akraya.com

HEADQUARTERS

SANTA CLARA, CA

SIZE

100 - 200

FOUNDED

2010

TYPE

Private

CEO

KUMAR SRIKANTAN

REVENUE

$10M - $50M

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About Akraya Inc.

AKRAYA provides information technology staffing and consulting services.

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The job skills required for Data Engineer I: 24-01317 include SQL, AWS, Data Modeling, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer I: 24-01317. 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 I: 24-01317. 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 I: 24-01317 positions, which can be used as a reference in future career path planning. As a Data Engineer I: 24-01317, 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 I: 24-01317. You can explore the career advancement for a Data Engineer I: 24-01317 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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