Overview

Durham, NC, USA
icrunchdata Network
Java, AWS, and messaging like Kafka or ActiveMQ. Python is nice to have. Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required. 4 years implementing Big data solutions in data analytics space and a minimum of 1 year of experience in developing applications in Cloud (AWS, Azure, Google Cloud) Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT), Messaging Technologies (ActiveMQ, Kafka), Relational and NoSQL databases (Cassandra, Spark, Elastic search, Graph database, Stream Processing (Flink, Storm), Java Spring, Web APIs and in-memory technologies. Strong knowledge of developing highly scalable distributed systems using Open source technologies Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) Experience in Agile methodologies (Kanban and SCRUM) The Purpose of your role You will be responsible for design and development of highly available, scalable and distributed data platforms using frameworks to process high volume, high velocity and wide variety of structured and unstructured data. You will also be a technical lead and have responsibility for solution design, solving key technical challenges and mentoring the team. The Skills you bring Strong technical design and analysis skill Ability to take care of ambiguity and work in fast paced environment Deep experience supporting mission critical applications quickly Superb 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 Proven understating of data architecture patterns such as Lambda, Kappa, Event driven Architecture, Data as a Service, Microservice etc. The Value you deliver Crafting, Building and supporting critical applications to deliver the best customer experience Exploring new technology trends and demonstrating them to simplify our data ecosystem Driving Innovation and leading the team to implement solutions with future thinking Collaborating with internal and external teams to deliver technology solutions for the business needs Guiding teams to improve development agility and efficiency Resolving technical roadblocksand mitigating potential risks Delivering system automation by setting up continuous integration/continuous delivery pipelines Acting as a technical mentor to the team and bringing them up to speed on latest data technologies and promoting continuous learning How your work impacts the organization Customer Data Technology in PI supports the platforms that enable business users to collect and analyze the customer data needed to provide the best customer experience. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FTSjobs.com. Fidelity Investments is an equal opportunity employer. Special Instructions: Please send top 2 candidates only Longevity is key to this manager; no job hoppers top skills: Java, Python, Kafka, API, ETL, AWS this manager is NOT looking for Big Data Engineer’s They will be developing API and deploying I models into production. Job Requirements: Java, Python, Kafka, API, ETL, AWS

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