Data Scientist

* Job Description: · Be accountable for the successful rollout \& Support of Data Engineering Solutions across a large\-scale stake holder of Bank . · Own the project’s objectives/activities to ensure that risks and issues are appropriately and clearly managed or escalated. · Communicate and manage senior stakeholders across multiple business lines. · Establish an understanding of the business, develop a deep understanding of business needs, and build and shape delivery plans. · Prepare and deliver presentations and facilitate decisions among senior stakeholders. · Represent the role in line with the Banks culture, ensuring full transparency, auditability and value for money objectives are met/upheld. · Responsible for tracking / managing Technology Obsolescence, OS/DB/Middleware baseline management. · Responsible for tracking / managing Technology OS / DB /Middleware upgrade activities. · Responsible for tracking / managing VAPT / IA Obs. tracking , closure \& Infra. Capacity Management, projection . · Responsible for Deployments Mgmt , Dev\-ops CI CD process \& purging/backup policy Automations · Managing Cloud Infra Scalability / System stability Optimization. · Responsible for Budget ,FPN, PO release activities \& Vendor management activities. · Highly organized, self\-motivated, pro\-active, and able to plan and execute plans · Responsible To lead a team of minimum 25 people. * Skill \- **13 \+ years of experience.** · Knowledge \& practices of SDLC process and agile methodologies · Excellent knowledge of on premise \& cloud technologies (Azure preferred ). · Excellent knowledge of working with Azure Cloud Technologies : ADLS Gen 2, Databricks, Events hub, Azure ADF, Azure function , Azure Logic Apps and DB repositories, Synapse, Delta Tables · Experience working with relational databases – Oracle , MSSQL , Db2 , Netezza etc. · Experience working with NoSQL databases – Azure Cosmos , Mongo DB etc · Experience working with distributed SQL query engine like Trino · Experience working with programming languages \- Python, Py\-Spark , SQL, Plsql etc · Excellent experience in data ingestion/message queue technologies \- Golden gate , Kafka , Solace etc. · Experience working with servers and OS \- Unix , Linux , AIX etc. · Experience working with scheduling tools – Autosys, Azure Monitor etc. · Experience working with project management ,collaboration tools – MPP , MS Share point, MS Teams · Experience working with Incident Management, Defect Management Tools – Service Now , JIRA etc.