Posted:23 hours ago|
Platform:
Remote
Full Time
Lead the design, development, and deployment of scalable and reliable data processing solutions on AWS.
Architect and implement big data processing pipelines using Apache Spark on AWS EMR.
Build and deploy Serverless applications with AWS Lambda, integrating with other AWS services.
Utilize Amazon EKS for container orchestration and microservices management.
Design and manage complex data workflows with Apache Airflow.
Collaborate with cross-functional teams to define requirements and ensure seamless integration.
Mentor and guide team members in Java best practices, cloud architecture, and data engineering.
Monitor and optimize solution performance and cost across AWS infrastructure.
Stay updated on emerging technologies to drive innovation and maintain a competitive edge.
Strong hands-on experience in Java development
Proficiency in Apache Spark for distributed data processing
Expertise with AWS services EMR, Lambda, EKS, Airflow
Solid understanding of Serverless architecture & microservices
Proven leadership and mentoring capabilities
Strong problem-solving & communication skills
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