Requirements

• Bachelor’s or Master’s degree in a technology related field (e.g. Engineering, Computer Science, etc.) required
• 10+ years of experience in software design and development
• 5+ years of experience in implementing big data solutions in data analytics space
• 2+ years of experience in developing big data applications in Cloud (AWS, Azure, Google Cloud)
• Proven experience in building and maintaining data capabilities and APIs at scale
• Strong understanding of microservices architecture
• Experience in building large-scale software platforms
• Extensive experience in Object Oriented Programming (Java, Scala, Python, Nodejs), Streaming/Messaging Technologies (Kafka, Kinesis, SNS, SQS, ActiveMQ), Relational and NoSQL databases (DynamoDB, Elastic search, Graph DB), Stream Processing (Flink, Kinesis Analytics, Spark), data movement technologies (ETL/ELT), REST APIs and in-memory technologies
• Strong knowledge of developing highly scalable distributed systems using AWS services and Open source technologies
• Experience in deploying Machine Learning models with reinforcement learning in highly scalable environments
• Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
• Strong technical design and analysis skills
• Ability to deal with ambiguity and work in fast paced environment
• Ability to think out of box and design end-to-end solutions
• Passion and intellectually curiosity to learn new technologies and business areas
• Deep experience supporting mission critical applications quickly
• Excellent communication skills, both through written and verbal channels
• Excellent collaboration skills to work with multiple teams in the organization
• Ability to understand and adapt to changing business priorities and technology advancements
• Strong knowledge and technology trends in implementing of Big data ecosystem
• Solid experience in Agile methodologies (Kanban and SCRUM)

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