Associate ETL Engineer

Aspirion•Columbus, GA

1d•Remote

About The Position

Aspirion is seeking an Associate ETL Engineer responsible for designing, developing, and optimizing ETL processes to support Aspirion’s data-driven initiatives. The ideal candidate is eager to hit the ground running and contribute to the next generation of ETL pipelines. Experience with EasyMorph, Databricks, Azure Data Factory, Talend, and Apache Nifi is a strong plus. Candidates must be well-versed in ETL file formats (TXT, CSV, XML, JSON, YAML) and possess strong programming skills in Python, C#, or Java. A keen eye for detail, a commitment to quality, and the ability to learn complex systems quickly are essential. A background in test-driven development (TDD) is highly desirable.

Requirements

Detail-oriented with a strong focus on data quality and validation.
Ability to quickly learn and adapt to complex systems and processes.
Understanding of test-driven development (TDD) and automated testing practices.
Problem-solving mindset with strong analytical and debugging skills.
Excellent communication and collaboration skills to work with cross-functional teams.
Prior experience with EasyMorph, Databricks, Azure Data Factory, Talend, or Apache Nifi is a plus, but not required.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
0-3 years of experience in ETL development or data engineering.
Experience with ETL tools and frameworks (EasyMorph, Databricks, Azure Data Factory, Talend, Apache Nifi).
Strong programming skills in Python, C#, or Java.
Familiarity with structured and semi-structured data formats (TXT, CSV, XML, JSON, YAML).

Nice To Haves

Experience with EasyMorph, Databricks, Azure Data Factory, Talend, and Apache Nifi is a strong plus.
A background in test-driven development (TDD) is highly desirable.

Responsibilities

Develop and maintain ETL processes to support data ingestion, transformation, and integration.
Work with various file formats (TXT, CSV, XML, JSON, YAML) to ensure seamless data processing.
Implement and optimize ETL workflows using EasyMorph, Databricks, Azure Data Factory, Talend, and Apache Nifi.
Write clean, efficient, and maintainable code using Python, C#, or Java.
Ensure data quality, accuracy, and integrity across ETL pipelines.
Collaborate with data engineers and analysts to define and refine ETL requirements.
Troubleshoot and resolve ETL failures, ensuring minimal downtime and impact.
Follow test-driven development (TDD) methodologies to improve reliability and maintainability.
Maintain and document ETL processes, providing insights and recommendations for improvements.