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2 days ago
Data Engineering Role
">We are seeking an experienced Data Engineer with a strong foundation in Java and Apache Spark to lead the development and deployment of scalable cloud-based data solutions.
">This role will involve leading the development and deployment of scalable and reliable data processing solutions on AWS using Java and Spark, architecting and implementing big data processing pipelines using Apache Spark on AWS EMR, developing and deploying Serverless applications using AWS Lambda, integrating with other AWS services, utilizing Amazon EKS for container orchestration and microservices management, designing and implementing workflow orchestration using Apache Airflow for complex data pipelines, collaborating with cross-functional teams to define project requirements and ensure seamless integration of services, mentoring and guiding team members in Java development best practices, cloud architecture, and data engineering, monitoring and optimizing performance and cost of deployed solutions across AWS infrastructure, and staying current with emerging technologies and industry trends to drive innovation and maintain a competitive edge.
">Required Skills">- Strong hands-on experience in Java development
- Proficiency in Apache Spark for distributed data processing
- Experience with AWS services including EMR, Lambda, EKS, and Airflow
- Solid understanding of Serverless architecture and microservices
- Proven leadership and mentoring capabilities
- Excellent problem-solving and communication skills
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