Artificial Intelligence & Engineering
AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
Level: Data Management Engineer III
As a Data Management Engineer III at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.
As a Data Management Engineer III on the AI & Engineering team, you will be responsible for designing, developing, and deploying data quality and integration solutions that support enterprise-scale business needs.
Design, develop, and deploy Informatica Cloud and IDMC data quality solutions, including profiling, cleansing, parsing, standardization, matching, and duplicate record management.
Create technical design documents, development standards, templates, and reusable assets to support consistent delivery across environments.
Manage task automation, agent configuration, code migration, and deployment activities using GitHub, DevOps, CI/CD, and enterprise code management tools.
Facilitate agile delivery activities, review deliverables, track progress, prepare status updates,



and provide technical guidance to junior team members.
AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
AI & Data professionals will work with our clients to:
Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing.
Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
6-9 years of experience implementing master data management (MDM) or master data governance (MDG) solutions using Collibra
1-3 years of experience using SQL, Unix, and shell scripting
Experience supporting at least 1 end-to-end Collibra implementation project
Experience with Collibra Data Governance Center (DGC) configuration for business glossary, data taxonomy, data ownership, workflows, and data quality rules
Experience integrating Collibra with interfacing systems using connectors or custom adapters,



including tools such as ServiceNow or HP ALM
Experience supporting testing phases, including unit testing, system integration testing (SIT), and user acceptance testing (UAT) defect resolution
Support Production deployment and Warranty support phases
Experience in different kinds of testing phases like unit testing, system integration testing.
Experience to work in onshore/offshore delivery model.
Bachelor of Engineering (BE), Bachelor of Technology (B.Tech), Master of Computer Applications (MCA), Master of Science ( M.Experience in data modeling implementation
Experience in User acceptance testing
Experience participating in client meetings and stakeholder interactions

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