Data Science Engineer: Datasets & Pipelines

Capgemini Engineering

Colombia

Hybrid

COP 90,000,000 - 150,000,000

Full time

14 days+

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Benefits offered by this job

Free access to learning platforms
Hybrid working options
Well-being Hub access

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

SQL proficiency
Python programming
Data transformation and wrangling
Cloud platform experience (Azure, AWS, GCP)
English (B2 level or higher)

Education

Bachelor's degree in Data Science or related field

Tools

pandas
NumPy

Job description

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.
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