| bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related technical discipline |
| • At least 10+ years of experience in working in large global teams experience in working in large global teams, especially for high-performance, large-scale systems through various project lifecycle stages like design, build, testing etc. |
| • understanding of dev ops tools and engineering practices using micro-services, ci/cd pipeline and test automation |
| • strong understanding of the software development lifecycle |
| • experience in one or more programming languages: Java 8+, Python |
| • Experience of Tomcat & Spring  framework is a plus |
| • Good understanding of relational (Oracle, SQL Server) |
| • Cloud technologies and patterns |
| • building and optimizing ‘big data’ data pipelines, architectures and data sets |
| • proven skills in performance tuning and quality improvements |
| • strong in Algorithms and Data Structures |
| • interpersonal and communication skills and an ability to work as part of a global team |
| • passion for learning and innovation |
| • keen interest in understanding how the business works |
| • Agile Software delivery Methodology (Scrum, XP, Kanban, etc.) |
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| Additional Experience – Advantageous |
| · Microsoft Azure experience |
| · Infrastructure-as-code, using tools such as Terraform, ARM, Bicep or CloudFormation |
| · Azure CLI, setting up ADO pipelines, Terraform Enterprise, etc |
| · Spark/Databricks batch and streaming solutions (Delta Lake, Lakehouse) |
| · Knowledge of Azure Data Factory |
| · Knowledge of Kafka, Event hubs and ADLS Gen2 on Microsoft Azure |
| · Containers and container orchestration using Docker, Kubernetes and Helm |