Senior Data Engineer
Skills
Data EngineeringAmazon RedshiftData ModelingData WarehousingExtractTransformLoad
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong background in data engineering.
- Proficient in SQL and Python.
- Experience in managing data transformation pipelines.
- Solid understanding of data modeling data warehousing and ETL processes.
- Experience with version control systems like Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaborative skills.
Nice to have
- Data Build Tool (DBT)
- BigQuery
- Spark
- Redshift
- Snowflake
- Healthcare data knowledge
Day to day
- Design and implement models with complex logic for Acumen product.
- Build and maintain transformation pipelines with robust testing for data integrity.
- Collaborate with teams to understand and deliver data solutions.
- Optimize data storage and retrieval for performance and scalability.
- Participate in code reviews to maintain high code quality.
- Utilize version control systems like Git for development.
- Stay updated with data engineering industry trends and best practices.