We are seeking a skilled Data Engineer to enhance our data infrastructure and support advanced analytics initiatives. The ideal candidate will have robust experience in building and maintaining data pipelines, with strong expertise in SQL, Python, Redshift, DBT, and Databricks. This role requires a detailed understanding of both the technical aspects of data engineering and the practical implications of data at scale.

Responsibilities:

Design, construct, install, test, and maintain highly scalable data management systems.

Ensure systems meet business requirements and industry practices for data integrity and speed.

Use data manipulation and transformation techniques to solve complex problems involving large-scale data pipelines.

Implement data ingestion routines using best practices in data modeling, ETL/ELT processes with SQL, Python, and other technologies.

Monitor data performance and modify infrastructure as needed.

Document all processes and procedures in detail.

Required Skills:

Proficient in SQL and Python programming.

Extensive experience with AWS Redshift.

Solid understanding of DBT for managing data transformation and workflow.

Experience with Databricks for large-scale data processing and analytics (certification is a nice to have)

Strong experience in designing and developing robust, efficient, and scalable data pipelines.

Excellent problem-solving abilities and strong analytical skills.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

At least 3 years of experience as a Data Engineer or in a similar role.

Demonstrated ability to build complex systems using the aforementioned technologies.

Excellent written and verbal communication skills.
 

This job opening includes people registered in the National Registry for Persons with Disabilities (Registro Nacional de Personas con Discapacidad - Ley N° 19.691) who meet the conditions and suitability for the position.