Job description
Total Experience : 12 to 15 years of experience. 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 -
- 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.