Virtusa

Oracle PLSQL

Posted On

Nov. 8, 2024

Location

Pune, Maharashtra

Experience Level

Full Time

Job Type

Experienced

Apply By

March 31, 2025

Job Description

Skills from Primary Skill Cluster (Min 3 technical primary skills) Oracle PL SQL, Oracle Performance Tuning, Unix, DB Parameters tuning, data pump or other DB native
Skills outside Primary Skill Cluster Agile, CI CD Pipeline, JIRA
Job Description: Architect and Design scalable Data and AI solutions. Evaluate technologies, tools, and platforms.
Identify and evaluate emerging technologies, such as Data and AI, and assess their potential impacts and benefits and present it to Internal and External stakeholders.
Identify data and information needs for Regulatory, Compliance, Operational Risk and Audit functions.
Help design and implement a strategic data architecture framework that will facilitate the availability, accessibility, quality, and reliability of data across multiple technology data domains.
Design and maintain blueprint of the information architecture, reference models, data integrations and controls aligned to the business strategy
Develop conceptual, logical, physical models and meta data solutions, as required
Determine database structural requirements by analyzing client operations, applications and data from existing systems
Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists, and governance teams
Define, model, and rationalize target state architecture, socialize with key stakeholders and conduct walkthrough.
Collaborate with Enterprise, Sector and Federated architecture team and adopt recommendations
Incorporate data standards and implement governance model
Develop data flows, ownership matrixes and data lineage
Implemented physical data model, contribute to the system and operational design, carry out optimization for usability and performance
Expertise in RDBMS, NoSQL, Data Warehousing, Big Data and Data Visualization tools is preferable
Working knowledge of message queuing, stream processing, and highly scalable big data data stores is preferable.
Hands-on tools experience in building data pipelines is must.

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