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Data Engineer

BeaconFire Inc. • United State
Visa Sponsorship
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BeaconFire Inc. seeks a Data Engineer to build, maintain, and operate integrations, reporting pipelines, and data transformation systems. The role involves designing scalable ETL/ELT processes, collaborating with analytics teams, and implementing engineering best practices. Requires a Master's degree, intermediate Python, and experience with relational databases.

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
Master's degree required with intermediate Python and SQL database experience
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 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 ETL/ELT
Benefits & Perks
Visa sponsorship available
E-Verified company
Equal employment opportunities
Nice to Have
Experience in data processing with Numpy, Pandas

Job Description

JOB DESCRIPTION:

Title: Data Engineer

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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