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Description:
Our client is seeking a talented Big Data Engineer to work on internal technical initiatives in data engineering, data analytics, and software integration.
This is a highly technical role in a true big data environment hosted on AWS Cloud.
The ideal candidate will have 3-6 years of experience, with a strong focus on building data pipelines, optimizing algorithms, and advanced SQL querying, rather than traditional ETL pipelines.
Responsibilities include designing, building, and optimizing data pipelines to support business initiatives.
The candidate will collaborate with internal business stakeholders to improve data engineering and analytics capabilities.
The role involves optimizing algorithms and working on complex SQL queries for data solutions.
The engineer will work within an AWS environment, particularly EMR, to manage and process large data sets.
Development will utilize Python, Java, or Scala, alongside test-driven development practices.
The candidate will also build and maintain unit tests to ensure code quality.
Requirements:
The candidate must have 3-6 years of hands-on experience in data engineering.
Strong expertise in Python (or Java/Scala) is required, with proven coding proficiency.
Advanced experience in SQL, specifically for structuring complex queries, is necessary.
Experience in building data pipelines (not ETL) and optimizing algorithms is essential.
Knowledge of AWS EMR and experience working in a big data environment is required.
Familiarity with Spark and test-driven development is also necessary.
A Bachelor's degree in Computer Science, Mathematics, Physics, or Electrical Engineering is preferred.
Candidates from the DMV area are preferred, though remote options may be available for exceptional candidates.
Benefits:
The position offers a fully remote work environment.
It provides an opportunity to work on cutting-edge big data technologies in a dynamic team.
The role allows for collaboration with internal business stakeholders to enhance data capabilities.
The candidate will gain experience in a true big data environment hosted on AWS Cloud.
There is potential for career growth and development in data engineering and analytics.