StoneX Group | Data Engineer | Bengaluru | Bharat | BigDataKB.com | 2023-03-04

• Bachelor’s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
• Ability to work and define best practices in colloboration with Agile Development teams
• Hands-on development and programming experience on any Object Oriented Programming Language such as Java/C#/Python.
• Knowledge of Microservices architecture, design and business processes
• Knowledge in Distributed application, data and infrastructure architecture disciplines
• Experience with modern agile software delivery practices such as Scrum/Kanban, Continuous Integration and Delivery (CI/CD) and Automation using Gradle or equivalent automation framework
• Knowledge of container orchestration using native or managed Kubernetes and Infrsatstucture as Code tools such as Terraform and/or Ansible
• Requires supporting teams for CI/CD for a hybrid cloud native environment.
• Knowledge of data and persistence technologies such as SQL, No-SQL (ex. Cassandra, Dynamo DB)
• Experience with data streaming, messaging and event driven systems such as Kafka, Kinesis, AWS MSK
• Good understanding of Security and Data Encryption principles such as OAuth, Kerberos and KMS solutions
• Excellent verbal and written communication skills are required for the role

Responsibilities:

• Create cloud and big data technical design recommendations for developing and integrating new software and system technologies – from the physical layer through to the virtual layer – per written specifications; test, evaluate, engineer, implement and support said technologies.
• Review, influence and contribute to new and evolving design, architecture, standards, and methods for operating and contributing to services within our big data ecosystem.
• Add to our existing business and data models. Reviews existing designs and processes to highlight more efficient ways to complete existing workload more effectively through industry perspectives.
• Drive technical innovation and efficiency in infrastructure operations through automation by assisting in improvements to continuous integration, continuous deployment and
• Create cloud and big data technical design recommendations for developing and integrating new software and system technologies – from the physical layer through to the virtual layer – per written specifications; test, evaluate, engineer, implement and support those technologies
• Collaborates with technical teams and utilizes system expertise to deliver technical solutions, continuously learning and evolving big data skillsets.
• Monitors and evaluates overall strategic data infrastructure; tracks system efficiency and reliability; identifies and recommends efficiency improvements and mitigates operational vulnerabilities. Respond to and resolve emergent service problems. Design solutions using automation and self-repair rather than relying on alarming and human intervention

Qualifications: