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Junior Data Engineer (ETL/ELT Pipeline Development)

BeaconFire Inc. • United State
Visa Sponsorship
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Join BeaconFire as a Junior Data Engineer to design, build, and maintain scalable ETL/ELT pipelines, ensuring seamless data integration and transformation. Collaborate with analytics teams to solve business challenges while leveraging Python, SQL, and data processing frameworks. Ideal for self-motivated candidates with a passion for data and a master’s degree in a relevant field.

Key Highlights
Build and maintain scalable ETL/ELT processes for data-driven business solutions
Collaborate with analytics teams to identify and implement reliable data solutions
Automate data pipelines with unit and integration testing, adhering to engineering best practices
Key Responsibilities
Collaborate with analytics teams to design and implement data solutions addressing business needs
Develop and maintain scalable ETL/ELT processes to support data-driven decision-making
Extract, manipulate, and transform data from relational databases for production use
Create utilities, user-defined functions, and frameworks to optimize data flow patterns
Develop and integrate automated unit tests, and participate in integration testing efforts
Troubleshoot and resolve operational and performance issues in data systems
Ensure adherence to engineering best practices and quality standards in collaboration with architecture/engineering leads
Technical Skills Required
Python SQL Data Processing (ETL/ELT)
Benefits & Perks
Visa sponsorship available
Equal employment opportunities

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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