
Enterprise Data Integration Specialist
22 hours ago
We are seeking an experienced and skilled technology professional to lead the design, development, and deployment of scalable data solutions using Java and Apache Spark. The successful candidate will be responsible for architecting and implementing big data processing pipelines, developing serverless applications, and integrating them with cloud services.
- Key Responsibilities:
- Design and develop high-performance data processing systems in cloud environments.
- Architect and implement data integration pipelines utilizing technologies such as Apache Spark and cloud-native services.
- Develop and manage serverless applications and integrate them with cloud services to build efficient and maintainable solutions.
- Use container orchestration tools (e.g., Amazon EKS) to manage microservices-based applications.
- Design and implement workflow orchestration solutions (e.g., Apache Airflow) for managing complex data pipelines.
- Collaborate with cross-functional teams to define technical requirements and ensure smooth integration across services.
- Mentor and guide development teams on Java best practices, cloud architecture, and data engineering principles.
- Monitor and optimize the performance and cost-efficiency of deployed solutions in cloud environments.
Required Skills:
- Strong hands-on experience in Java development.
- Proficiency in Apache Spark for distributed data processing.
- Experience with cloud platforms and services (e.g., EMR, Lambda, EKS).
- Solid understanding of serverless architectures and microservices design.
- Demonstrated leadership and team mentoring experience.
- Excellent problem-solving, communication, and collaboration skills.
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