Data Engineer
Skills
- Proficient in Python, PySpark, and SQL programming.
- Experience building ETL workflows using Spark, Snowflake, Airflow, Azure Data Factory, Glue, or Redshift.
- Ability to craft and optimize complex SQL queries and stored procedures.
- Knowledge of data modeling and performance optimization techniques.
- Familiarity with Snowpark and Snowflake for data processing and storage.
- Exposure to API integration and development.
- Experience implementing CI/CD pipelines using DevOps platforms.
- Cloud infrastructure expertise with Azure, AWS, or GCP.
Responsibilities
- Collaborate with software engineers and business stakeholders to translate requirements into product features and tools.
- Develop, implement, and deploy ETL solutions for large datasets.
- Preprocess and analyze data to identify patterns and insights.
- Evaluate, validate, and optimize data models to ensure efficiency and scalability.
- Monitor and maintain data pipeline performance in production environments.
- Document development processes and share knowledge for continuous improvement.
Education
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Benefits
- Career growth opportunities with skill development and diverse career paths.
- Learning and development culture promoting continuous improvement.
- Recognition programs available for all employee levels.
- Comprehensive benefits including Medical, Dental, Vision, HSAs, Commuter benefits, life and supplemental insurance, legal and identity protection programs.
- 401k with matching contributions and paid time off.
- Employee Assistance Programs and various discounts such as education, entertainment, and pet insurance.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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