AWS Data Engineer (AWS, Snowflake, SQL, Python) We are seeking an experienced Data Engineer to support the Clara Application by developing and maintaining data solutions, creating complex data extracts, and managing large-scale data processing workloads. Key Responsibilities - Develop and maintain data pipelines, data extracts, and integration processes.
- Write and optimize complex SQL queries for data manipulation and reporting.
- Create and automate data processing solutions using Python.
- Design, develop, and support data solutions on AWS.
- Work with Snowflake and other relational databases to ensure reliable and efficient data delivery.
- Perform data validation, troubleshooting, and production support activities.
- Collaborate with business and technical teams to understand and deliver data requirements.
Required Qualifications - 3-5+ years of Data Engineering experience.
- Strong hands-on expertise with AWS Cloud.
- Advanced SQL skills, including complex query development and performance tuning.
- Experience with Snowflake or other enterprise RDBMS platforms.
- Strong Python scripting and automation experience.
- Experience handling large datasets and enterprise data environments.
Preferred - Experience with ETL/ELT pipelines, data warehousing, and cloud-based data architectures.
- AWS and/or Snowflake certifications.
- Experience in healthcare or other regulated industries.
Work Schedule - Must be available during EST/ET business hours (8:00 AM – 5:00 PM ET).
- Ability to provide operational and production support as needed.
Ideal Candidate A hands-on Data Engineer with strong AWS, Snowflake, SQL, and Python expertise who can build scalable data solutions, develop complex data extracts, and support business-critical data operations. |
