Cloud Data Quality Engineer

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 #AI&DATAJULFY27