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Junior Data Engineer

BeaconFire Inc. • United State
Visa Sponsorship
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BeaconFire is seeking a self-motivated Junior Data Engineer to build and maintain data integration and reporting pipelines. The role involves designing scalable ETL/ELT processes and collaborating with analytics teams to provide reliable data solutions. Candidates must hold a Master's degree in a technical field and possess intermediate Python and SQL skills.

Key Highlights
Design and implement scalable ETL/ELT processes to support business data demands
Build automated unit tests and participate in integration testing efforts
Collaborate with architecture and engineering leads to ensure best practices
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, 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 adhered to.
Technical Skills Required
Python SQL
Benefits & Perks
Annual salary of $62,000 – $80,000
Visa sponsorship available for eligible candidates
Nice to Have
Experience in data processing (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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