Long Description

• Design and develop robust, scalable, and efficient data architectures that support business requirements and objectives.

• Create and maintain data models and schemas for new and existing applications, ensuring optimal performance and scalability.

• Develop and maintain comprehensive data models that meet both current and future business needs.

• Ensure data integrity, consistency, and accessibility across multiple systems.

• Lead the design and implementation of data migration strategies and processes.

• Oversee the development of ETL pipelines, ensuring efficient and reliable data extraction, transformation, and loading.

• Design data warehousing solutions to support analytical and reporting needs.

• Utilize big data technologies to handle large volumes of structured and unstructured data.

• Lead cloud migration initiatives, ensuring seamless transition of data and applications to cloud platforms.

• Develop strategies for cloud data management, storage, and security.

• Analyze and optimize database performance, identifying and resolving bottlenecks.

• Implement best practices for database design, indexing, and query optimization.

• Collaborate with cross-functional teams, including software developers, data engineers, and business analysts, to deliver high-quality data solutions.

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Deliver

		No
		Performance Parameter
		Measure

		1
		Process
		No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT

		2
		Team Management
		Productivity, efficiency, absenteeism

		3
		Capability development
		Triages completed, Technical Test performance