Manager - IT Infrastructure

• The perfect candidate is a strategic thinker who is extremely analytical and detail oriented and great at multitasking and prioritizing, as
• You will take end to end ownership of data warehouse requirements for the client; manage and train the supporting team; suggest changes as and when required and come up with solutions to support data warehouse execution.

Desired Skills and Experience:

• Works well under pressure; can work within stringent timelines and to collaborate across departments to achieve results.
• The candidate must be a self-starter, be able to manage multiple tasks and projects simultaneously, own deliverables end to end, prioritize workload effectively, and thrive in a dynamic environment.
• The candidate must have 4 to 7 years in total and 3 years relevant into Windows
• Must be a true problem solver with outstanding skills in discovery techniques and the proven ability to translate the underlying business needs of requests into actionable items.
• Plan, create, coordinate, and deploy data warehouses and create best practices for data loading and
• Partner closely with business and technical teams of clients to understand their project objectives and provide robust solutions and
• Develop data architecture, data modeling, and ETL mapping solutions within structured data warehouse environment.
• Support the development and validation required through the lifecycle of the DWH and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse.
• Develop reporting applications and data warehouse
• Expertise in Azure IaaS and PaaS services and experience in administration of cloud infrastructure.
• Knowledge of SQL and both on-premise cloud relational databases; Oracle and SQL Server Adept in writing ETL queries in various flavors of SQL.
• Experience in working on Power BI infrastructure and administration including provisioning, IAM, workspace management, RLS.
• Relevant experience in query migration, data integration and building autonomous data pipelines. Experience in R is an added
• Conversant with Linux and Windows OS and working knowledge of Azure Active
• Experience with tools such as Informatica is an added advantage along with knowledge of finance