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 |
Experience: 5-8 Years .
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