Data Science Engineer: Datasets & Pipelines

Capgemini Engineering; Colombia; Híbrido; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free access to learning platforms

Hybrid working options

Well-being Hub access

Descripción de la vacante

A leading engineering services firm seeks a Data Science Specialist in Colombia. You will design and validate datasets for analytics and machine learning. Key responsibilities include building data preparation workflows and ensuring data quality. Candidates should have a Bachelor's degree in a quantitative field, 3+ years' experience, and proficiency in SQL and Python. This role offers a supportive environment with opportunities for continuous learning and flexibility in work arrangements.

Formación

• 3+ years of hands-on experience in data-focused roles with significant work building and transforming datasets.
• Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery.

Responsabilidades

• Partner with Data Scientists and Analysts to create analytics-ready datasets.
• Use SQL and Python for data extraction and transformation.
• Build and maintain data preparation workflows.
• Implement data quality checks for accuracy and completeness.
• Support users in understanding table structures and querying best practices.

Conocimientos

SQL proficiency

Python programming

Data transformation and wrangling

Cloud platform experience (Azure, AWS, GCP)

English (B2 level or higher)

Educación

Bachelor's degree in Data Science or related field

Herramientas

pandas

NumPy

Descripción del empleo

A leading engineering services firm seeks a Data Science Specialist in Colombia. You will design and validate datasets for analytics and machine learning. Key responsibilities include building data preparation workflows and ensuring data quality. Candidates should have a Bachelor's degree in a quantitative field, 3+ years' experience, and proficiency in SQL and Python. This role offers a supportive environment with opportunities for continuous learning and flexibility in work arrangements.