Job Description
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 transform 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 achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
Level: Data Management Engineer III
As an experienced Data Management Engineer III at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Work you'll do
As a Data Management Engineer III on the AI & Data team, you will be responsible for:
- Gather and analyze business and technical requirements for data management and data quality solutions aligned to client and sector needs.
- Design, develop, test, and deploy Informatica Intelligent Data Management Cloud (IDMC) solutions, including Cloud Data Quality (CDQ), Cloud Data Integration (CDI), and Cloud Application Integration (CAI).
- Configure and maintain data quality processes including profiling, cleansing, parsing, standardization, verification, matching, and duplicate record management.
- Participate in Agile delivery activities including sprint planning, estimation, retrospectives, peer reviews, and defect resolution to support high-quality project execution.
- Contribute to knowledge sharing, process improvement, and automation initiatives that enhance delivery efficiency and business outcomes.
The team
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.
Location: Bengaluru/Hyderabad/Pune/Chennai
Qualifications
Required:
- 6-9 years of experience in the design and implementation of data management solutions using Informatica Intelligent Data Management Cloud (IDMC) Cloud Data Quality (CDQ)
- Experience with Cloud Data Integration (CDI) and Cloud Application Integration (CAI)
- Experience with IDMC architecture and design principles
- Experience developing data quality solutions for profiling, cleansing, parsing, standardization, verification, matching, and merging duplicate records
- Experience in Address Validation and Cleansing tool (Address Doctor, Trillium, etc.).
- Experience with Informatica Cloud agent configuration, task automation, task flows, dashboards, scorecards, and deployment across environments
- Experience with Structured Query Language (SQL), extract transform load (ETL) processes, GitHub, DevOps, and continuous integration/continuous deployment (CI/CD) tools
- Experience with address validation and cleansing tools such as Address Doctor or Trillium
- Experience applying data governance frameworks to data quality management
- Experience with high-level design (HLD) and low-level design (LLD) documents
- Bachelor of Engineering, Bachelor of Technology, Master of Computer Applications, Master of Science in Computer Science, or equivalent degree from an accredited university
Preferred:
- Experience participating in unit testing, system testing, and user acceptance testing
- Experience working in onsite-offshore delivery models and participating in client meetings
- Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) data services and automation of data quality tasks
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