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Data Engineer
aKube Inc Los Angeles, CA
$96k-125k (estimate)
Other 0 Months Ago
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sadSorry! This job is no longer available. Please explore similar jobs listed on the left.

aKube Inc is Hiring a Data Engineer Near Los Angeles, CA

Job Description

The candidate needs to be local to LA.

The Data Engineer position works on a central team of Systems Engineers supporting distributed data platforms for our Technical Shared Service development teams and customers. The primary focus of this position will be the onboarding, support, and management of non-relational database stores and systems, and the automation of operational and business processes in supporting internet sites and online applications.

Responsibilities include data technology guidance and consultation, design support, task automation and scripting, best practice and standards development, capacity planning, optimization and tuning, upgrades and migrations, performance management, monitoring, security, backup and recovery, issue troubleshooting, and documentation.

Additional tasks as assigned.

Excellent technical expertise in relevant state-of-the-art database technologies, stores, systems, and design.
Carries out assignments with minimal coaching and guidance from others.
Develops, enhances, and adheres to engineering and administration standards. Upholds and maintains strong documentation.
The ideal candidate will have experience with relevant Non-relational database systems; 4-6 years experience with RBDMS desired.

Basic Qualifications:

Data Engineer with experience in implementing feature stores, as well as ETL experience. The streaming experience is good to have.
Experience in Scala or Python, either work.

Job Summary

JOB TYPE

Other

SALARY

$96k-125k (estimate)

POST DATE

03/24/2023

EXPIRATION DATE

05/31/2023

WEBSITE

akubeinc.com

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aKube Inc
Full Time
$120k-144k (estimate)
1 Week Ago

The job skills required for Data Engineer include Python, Relational Databases, Team Development, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. 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. 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 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 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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