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 projects 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.