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Junior Data Engineer

BeaconFire Inc. • United State
Visa Sponsorship
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Join BeaconFire Inc. in Central NJ as a Junior Data Engineer to build, maintain, and operate integrations, reporting pipelines, and data transformation systems. Design and implement scalable ETL/ELT processes, perform data extraction and manipulation, and build utilities and automated testing frameworks. Requires a Master's degree in a related field, intermediate Python skills, and experience with relational databases and SQL.

Key Highlights
Build and maintain data integrations, reporting pipelines, and transformation systems
Design and implement scalable ETL or ELT processes to support business data demands
Requires Master's degree and intermediate Python with SQL database experience
Collaborate with analytics teams and engineering leads on data solutions
Key Responsibilities
Collaborate with the analytics team to find reliable data solutions to meet the 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 and participate in integration testing efforts
Work with teams to resolve operational and performance issues
Work with architecture and engineering leads to ensure quality solutions are implemented and engineering best practices are defined and adhered to
Technical Skills Required
Python SQL Relational Databases
Benefits & Perks
Visa sponsorship available
E-Verified company
Equal employment opportunities
Nice to Have
Experience in data processing with Numpy, Pandas, etc.

Job Description

Junior Data Engineer

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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