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AI Summary
BeaconFire Inc. is seeking a Junior Data Engineer to build, maintain, and operate integrations, reporting pipelines, and data transformation systems. The role involves collaborating with the analytics team, designing scalable ETL/ELT processes, and performing data extraction and manipulation from database tables. Candidates must have a Master's degree in a related field, intermediate Python skills, and experience with relational databases.
Key Highlights
Build and maintain data integration and reporting pipelines
Design and implement scalable ETL/ELT processes
Work with relational databases and Python for data processing
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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 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/engineering leads and other teams to ensure quality solutions are implemented and engineering best practices are defined and adhered to.
Technical Skills Required
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Benefits & Perks
Competitive salary ($65,000-$80,000/year)
Visa sponsorship available
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Nice to Have
Experience with data processing using Numpy and Pandas
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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