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Data Engineer

BeaconFire Inc. • United State
Remote Visa Sponsorship
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Collaborate with analytics teams to design scalable ETL/ELT processes and data solutions, ensuring business needs are met through efficient data extraction, manipulation, and production. Build frameworks, automated tests, and utilities to optimize data workflows while adhering to engineering best practices. Work cross-functionally to resolve operational and performance challenges.

Key Highlights
Design and implement scalable ETL/ELT processes to support business data demands
Build automated unit tests and frameworks to enhance data flow efficiency
Collaborate with engineering and analytics teams to ensure high-quality solutions
Key Responsibilities
Collaborate with analytics teams to identify and implement reliable data solutions for business needs
Design and implement scalable ETL or ELT processes to meet business data demands
Perform data extraction, transformation, and production from database tables
Develop utilities, user-defined functions, and frameworks to optimize data flow patterns
Build and integrate automated unit tests, and participate in integration testing efforts
Troubleshoot and resolve operational and performance issues across data systems
Work with architecture and engineering teams to define and enforce engineering best practices
Technical Skills Required
Python Data Processing SQL
Benefits & Perks
$65,000.00 to $80,000.00 annual salary
Remote work
H1B visa sponsorship

Job Description

Qualifications:

• Passion for data and a deep desire to learn.

• Bachelor’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)

• Strong written and verbal communication skills.

• Ability to work both independently and as part of a team.

Responsibilities:

• Collaborate with 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.

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