Sr AWS Developer
Infinite Computer Solutions (ICS)
Atlanta, GA, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Big Data
Cloud Database
Data Validation
Information Engineering
Extract Transform Load (ETL)
Data Systems
Data Warehousing
Relational Databases
Python (Programming Language)
Performance Tuning
DataOps
+9 more
SQL Databases
Enterprise Data Management
Data Processing
Scripting
Freeform SQL
Sql Optimization
Snowflake
Data Delivery
Data Pipelines
Job description
- 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.
Requirements
- 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.
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