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AI Summary
BeaconFire is seeking a Data Engineer to build, maintain, and operate integrations, reporting pipelines, and data transformation systems in Central NJ. The role involves collaborating with analytics teams to design scalable ETL/ELT processes, perform data extraction, and implement automated testing. Candidates must possess a Master’s degree in a relevant field, intermediate Python skills, and experience with relational databases.
Key Highlights
Design and implement scalable ETL or ELT processes to support business data demands.
Build utilities, user-defined functions, and frameworks to enable efficient data flow patterns.
Collaborate with architecture and engineering leads to ensure quality solutions and adherence to 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 defined and adhered to.
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Technical Skills Required
Benefits & Perks
Work visa sponsorship available
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Nice to Have
Experience in data processing (Numpy, Pandas, etc)
Job Description
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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