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Data Engineer
Atlantic Group New York, NY
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$127k-156k (estimate)
Full Time 1 Week Ago
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Atlantic Group is Hiring a Data Engineer Near New York, NY

Our client, a high-profile equities investment management firm with over $400B in AUM with offices in San Francisco, NYC, Shanghai, Hong Kong, Tokyo and London, is hiring!

They are looking for a talented full-time Data Developer/Engineer to work out of their NYC office (hybrid capacity of 4x/week onsite).

The ideal candidate is someone who can apply analytics and quantitative concepts to support investment needs and develop new data and reporting/visualization solutions. This candidate will also work with Risk/Marketing/FA teams on various internal initiatives and projects, including proof-of-concept, prototype, and production solutions.

Much of the coding is done in Python.

Why would you want to work here?

Autonomy. This is a highly visible role. You will work very closely/collaboratively with other teams which include operations, fund accounting, marketing, quant, and others. You have the ability to perform implementations from beginning to end. There is a lot of meaningful opportunity here.

Key Responsibilities:

Apply analytics and quantitative concepts to support investment needs and develop new data and reporting/visualization solutions.

  • Work with Risk/Marketing/FA teams with various internal initiatives and projects, including proof-of-concept, prototype and production solutions.
  • Develop and maintain programs on source systems, ETL applications, data cleansing functions, systems management functions including load automation, and data acquisition functions among others

Requirements:

  • Bachelor’s Degree in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
  • 5 years of experience in analytical development and/or data management
  • Full-cycle software development knowledge
  • Proven track record in hands-on development of analytical solutions
  • High level of proficiency in SQL and programming tools (R, Python, MATLAB, VBA, SSRS)
  • Experience with PowerBI and MS SharePoint development
  • Interested in financial markets
  • Familiarity with Bloomberg API/BQL is a plus
  • Strong communication skills with the ability to take initiative and work independently
  • Timeliness, Consistency, and Accuracy of work is a top priority
  • High level of integrity, professionalism and ethical standards

Job Summary

JOB TYPE

Full Time

SALARY

$127k-156k (estimate)

POST DATE

05/03/2024

EXPIRATION DATE

05/20/2024

HEADQUARTERS

PARIS, MO

SIZE

100 - 200

FOUNDED

2016

REVENUE

$10M - $50M

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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.

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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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