Senior Analytics Engineer, Snowflake
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Job Description
Senior Analytics Engineer building data pipelines, models, and analytics solutions for Factored, which helps U.S. companies scale AI, ML, and data teams with LATAM talent.
Responsibilities:
- Design, develop, and maintain data pipelines, data models, and ETL processes for data integration, transformation, and aggregation.
- Collaborate with stakeholders to understand data requirements and translate them into scalable analytics solutions.
- Implement data validation, cleansing, and monitoring techniques to ensure data quality, accuracy, and consistency.
- Optimize data pipelines and analytics processes for improved efficiency and performance.
- Build and test code using CI/CD best practices.
- Perform advanced data transformations and create data models, often 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:
- +5 years of experience working in data analytics or analytics engineering-related fields.
- Experience with the design of ETLs.
- Strong proficiency in programming languages such as Python, SQL, and T-SQL.
- Strong experience with Azure Data Factory, Synapse Analytics, or Snowflake.
- Experience with data visualization tools such as PowerBI.
- Previous 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 building excellent data documentation in company-wide data discovery tools.
- Excellent verbal and written communication skills in English.
Benefits:
- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break.
- Paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance culture.
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