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For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our “Members”. Those Members are comprised primarily of 900 utility and broadband companies across the country and abroad, and we strive to provide services and technology to help them operate efficiently and better serve their end users. Our Members have over 16 million end customers (residential and businesses who receive power, internet, television and/or telephone services) that our enterprise software solution enables our Members to compete effectively in the industry, while excelling in customer service.
We are seeking an experienced Data Engineer to join our growing team of data analytics experts. The hire will be responsible for curating and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for various application teams. The Data Engineer will support our application experts, software developers, database architects, and data analysts on a Data Roadmap strategy and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams, systems, and products. We look for individuals who will thrive in a team environment, be committed to accomplishing a common goal and excited by the prospect of optimizing or even re-designing our company’s data architecture and have some fun along the way.
Essential Duties and Responsibilities:
Desired Experience and Skills:
Desired Qualifications:
Minimum Physical Requirements:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the essential functions of this position, employees must be able to see and communicate. Employees are regularly required to maintain a stationary position, move, and operate computer keyboards or office equipment.
Disclaimer:
Management may modify this job description by assigning or reassigning duties and responsibilities at any time.
Key Words:
SQL | Data | Big Data | Databricks | ETL | Spark | Scala | DBA| Lakehouse | Postgres | Python | AWS
Full Time
Wholesale
$116k-142k (estimate)
03/27/2023
05/31/2023
nisc.coop
MINEOLA, NY
500 - 1,000
2000
Private
$50M - $200M
Wholesale
NISC develops and supports software and hardware for utilities and telecommunications industries.
The job skills required for Data Engineer include SQL, Python, Data Engineering, AWS, Big Data, Data Warehouse, 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.
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.
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.