Senior Software Engineer, Big Data & ML
Software and Services
+ * Extensive experience in software design and development; Working knowledge of the full SW development lifecycle
+ * Hands-on with architecture, design, development and deployment of large scale distributed computing systems in a large organization
+ * Experience with Java, Java11 related technologies, Spring Framework, JUnit / TestNG. Strong knowledge and understanding of data structures, algorithms, design patterns, concurrency, multi-threading, scalability, fault tolerant designs, enterprise architecture and software engineering principles
+ * Solid understanding of data modeling and database systems including Oracle, Cassandra, other NoSQL technologies
+ * In-depth knowledge of technologies such as Web Services, Avro, JSON, HTTP, SSL, Caching solutions, application performance tuning
+ * In-depth knowledge and experience in one or more of the following technologies: Hadoop ecosystem, Kafka, Flume, HBase, Cassandra, Spark, Solr, Zookeeper
+ * Deep understanding of key algorithms and tools for developing high efficiency data processing systems
+ * Validated software engineering experience and discipline in design, test, source code management and CI/CD practices
+ * Strong software development, problem-solving and debugging skills with experience in one or more of the following languages: Java or Python
+ * Proficient in working with Linux or other Posix operating systems, shell scripting, and networking technologies
- Architect, design and implement highly available and scalable enterprise solutions that can match Apple volumes - Ability to distinguish/combine relevant SQL and NoSQL technologies to architect the right solution - Utilize the expertise in Java frameworks including Spring, REST - Interface with Business, application owners, developers and project managers - Be responsible for promised deliveries in time - Collaboration with Project Management team and cross functional teams - Review technical designs and perform code review
**Education & Experience**
BS degree in computer science or information management plus 7-10 years of experience, or MS degree plus 5-7 years, or equivalent.
+ * Understanding of encryption algorithms and technologies.
+ * Exposure to functional programming
+ * Some experience in statistics and machine learning.
+ * Familiarity with Compute and/or Machine Learning offerings from Amazon AWS
+ * Familiarity with Kubernetes
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