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Data Engineer - ETL/ELT Specialist

BeaconFire Inc. • United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Join BeaconFire Inc. as a Data Engineer to collaborate with the analytics team, design scalable ETL/ELT processes, and ensure reliable data solutions. Key requirements include intermediate Python, data processing experience, and strong communication skills.

Key Highlights
Collaborate with analytics team to meet business data needs
Design and implement scalable ETL/ELT processes
Perform data extraction, manipulation, and production
Key Responsibilities
Collaborate with the analytics team to find reliable data solutions to meet business needs
Design and implement scalable ETL or ELT processes to support the business demand for data
Perform data extraction, manipulation, and production from database tables
Build utilities, user-defined functions, and frameworks to better enable data flow patterns
Build and incorporate automated unit tests, participate in integration testing efforts
Work with teams to resolve operational & performance issues
Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to
Technical Skills Required
Python Data Processing (Numpy, Pandas) SQL
Benefits & Perks
$65,000.00 to $80,000.00 /year
Visa sponsorship available

Job Description

DESCRIPTION: BeaconFire is based in Central NJ, specializing in Software Development, Web

Development, and Business Intelligence; looking for candidates who are good communicators and

self-motivated. You will play a key role in building, maintaining, and operating integrations,

reporting pipelines, and data transformation systems.

Qualifications:

● Passion for data and a deep desire to learn.

● Master’s Degree in Computer Science/Information Technology, Data Analytics/Data

Science, or related discipline.

● Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc)

● Experience with relational databases (SQL Server, Oracle, MySQL, etc.)

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