WNS India

̶   Total relevant work experience of 10 + years

̶   Bachelor/ Master’s degree in Computer Science or equivalent

̶   Strong expertise into Azure Cloud Services technology stack.

̶   Experienced in developing solutions focused on big data and advanced analytics across diverse domains

̶   Has led enterprise architecture and solutioning efforts to define and develop big data components using Azure cloud stack

̶   Good knowledge into Azure security components, Devops, deployment tools.

̶   Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing

̶   Proficient in building large scale data lake-based solutions

̶   Expertise in Streaming & Real-time data processing.

̶   Expertise in Data modeling (ErWin, RDBMS & NoSQL).

̶   Expertise in data compression techniques

̶   Expertise in handling PII data.

̶   Proficient in PySpark framework

̶   Expertise in NOSQL

̶   Good knowledge of API’s and microservices frameworks.

̶   Good knowledge in Data virtualization tools.

̶   Good knowledge into

̶   Prior experience in big data implementations (Batch/Stream/Real-time processing), ELT/ETL and Hadoop.

̶   Understanding of tools and technologies available within the enterprise data & analytics ecosystem, with the ability to understand functional purpose of tools and fit for a specific requirement

̶   Strong capability to drive the project and keeps communication clear between both parties

̶   Own technical assessment, drive and manage IT implementation plan, governance and progress reporting

̶   Expertise in agile project management practices