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 Engineer III
As a Data 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.
Develop solutions in line with established technical designs, integration standards, and quality processes. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. 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.
Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM
Must Have Skills/Project Experience/Certifications:
6 - 10 years of hands-on experience in technology Consulting experience
Experience developing Classes, OOPS, exception handling, parallel processing.
Strong knowledge of DB connectivity, data loading, transformation, calculation.
Concurrency and error handling data pipeline batch of size [1-10 gb].
Ability to design architecture of data pipeline for concurrent data processing.




Familiar with application unit tests.
Good to Have Skills/Project Experience/Certifications:
Familiarity with event-driven programming in Python
Knowledge of PowerShell and SQL Server
Good Knowledge of user authentication and authorization between multiple systems, servers, and environments
BE/B.Tech/M.C.A./AI&DATAROLESSEPTEMBER29;
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📌 Python Developer - Data Engineering (Chennai)
🏢 Deloitte
📍 Chennai