3 months ago
Remote, ColombiaSenior
Responsibilities
- Design, develop, and maintain data pipelines, data models, and ETL processes for data integration, transformation, and aggregation.
- Work with stakeholders to translate data requirements into scalable analytics solutions.
- Implement data validation, cleansing, monitoring, and other practices to ensure data quality, accuracy, and consistency.
- Optimize the efficiency and performance of data pipelines and analytics processes.
- Build and test analytics code using software engineering, version control, testing, and continuous integration practices.
- Perform modular SQL-based transformations and create data models using tools such as dbt.
- Write and maintain data catalogs and definitions.
- Collaborate with data scientists and analysts on data-driven models, algorithms, and visualizations.
Requirements
- At least 5 years of experience in data analytics or analytics engineering-related fields.
- Experience designing ETL processes.
- Strong proficiency in Python, SQL, and T-SQL.
- Strong experience with Azure Data Factory, Synapse Analytics, or Snowflake.
- Experience with data visualization tools such as Power BI.
- Experience performing advanced, modular SQL-based transformations.
- Experience applying software engineering best practices to analytics code, including version control, testing, and continuous integration.
- Strong experience creating data documentation in company-wide data discovery tools.
- Excellent verbal and written communication skills in English.
Benefits
- Fully remote work arrangement.
- Complete engagement job.
- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break and paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance and collaborative work culture.
About Factored
Factored provides data science, machine learning, MLOps, and data engineering teams and training for U.S. tech companies, combining recruiting, upskilling, and managed delivery. The privately held firm is headquartered in Mountain View, California, backed by Andrew Ng’s AI Fund and DeepLearning.AI, and focuses on sourcing top Latin American talent to build and scale clients’ AI and analytics functions. It raised a pre-seed round in 2020.