JOB DESCRIPTION: SENIOR AWS CLOUD ENGINEER (MID-SENIOR LEVEL)

Experience Level: Mid-Senior
Experience Required: 7+ years
Education Level: Bachelor’s degree in Computer Science, Information Technology, or related field
Job Function: Information Technology
Industry: Information Technology and Services
Pay Rate: Competitive, based on experience (view hourly rate)
Total Positions: 1
Relocation Assistance: No
Visa Sponsorship Eligibility: No

KEY QUALIFICATIONS & EXPERIENCETECHNICAL EXPERTISE:

• AWS Cloud Computing: 7+ years of hands-on experience with AWS services (Glue, S3, Lambda, EMR, Redshift, etc.).
• Development & Architecture: 10+ years in designing, developing, and implementing scalable cloud-based solutions.
• Big Data & Spark: Strong expertise in Spark architecture, PySpark, and distributed computing (5–10 years).
• Python Programming: Advanced proficiency in Python (Pandas, NumPy, etc.) for data processing and automation.
• Data Warehousing & SQL: Extensive experience with SQL, ETL pipelines, and large-scale data stores.
• DevOps & CI/CD: Proven ability to build and manage CI/CD pipelines (Jenkins, CloudBees, Git, etc.).
• Healthcare Domain Knowledge: Prior experience in healthcare IT is mandatory (HIPAA, FHIR, HL7, etc.).

ADDITIONAL REQUIREMENTS

• Communication: Strong verbal/written skills for cross-functional collaboration.
• Problem-Solving: Ability to debug complex issues in distributed systems.
• Compliance: Ensure adherence to security and regulatory standards (HIPAA, SOC2).
  Job Type: Contract
  Pay: $68.00 per hour
  Expected hours: 40 per week
  Work Location: In perso

• Architect & Develop Cloud Solutions:
• Design, code, and deploy AWS-based Spark applications (PySpark, Glue, Lambda).
• Optimize data pipelines for performance, scalability, and cost-efficiency.
• Data Engineering & Warehousing:
• Develop and maintain ETL workflows for large datasets (S3, Redshift, SQL).
• Ensure data integrity, security, and compliance (HIPAA/GDPR).
• DevOps & CI/CD Leadership:
• Implement and enhance CI/CD pipelines (Jenkins, CloudBees).
• Automate deployments, testing, and monitoring for cloud applications.
• Collaboration & Leadership:
• Work closely with business analysts, data scientists, and stakeholders to translate requirements into technical solutions.
• Mentor junior engineers, conduct code reviews, and drive best practices.
• Innovation & Problem-Solving:
• Research and recommend cutting-edge data technologies (AI/ML, real-time analytics).
• Troubleshoot and optimize performance bottlenecks in cloud infrastructure.