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.
Position Summary
Level: Consultant
As an experienced Consultant 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:
Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
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.
Qualifications
Must Have Skills/Project Experience/Certifications:
- 3 - 6 years of hands-on experience in implementation, maintenance and/or support of highly distributed applications on Microsoft Azure Data platform
- 2+ years of experience with Azure SQL/ DWH / Synapse and stored procedures
- Develop Azure Data Factory Objects – ADF pipeline, configuration, parameters, variables, Integration services runtime (part of Data Factory).
- Experience in Big Data components such as Spark SQL, HIVE DB etc implemented using Azure Big Data platform like Data Bricks would be preferred.
- Experience working with data toolsets, including data warehouse, data marts, data lake, 3NF, and dimensional models, modeling tools, and profiling tools
- High level understanding of Azure Environment and Portal on the following services:
- Azure Data Factory (ADF)
- Azure Storage Services – Blob/ ADLS
- Azure Application Insights and Azure Log Analytics
- Database Services - Azure Cosmos DB, Azure SQL DB or Azure SQLDW / Synapse
- Continuous integration and continuous delivery (CI/CD)
- Event Hubs and Stream Analytics
- Data Bricks
- Azure Analysis Services and Power BI
- PowerShell Scripting
Good to Have Skills/Project Experience/Certifications:
- Hands-on experience in developing solutions on Azure Analysis Services (AAS) and Power BI reporting platforms
- Hands-on experience with Tools for system management, monitoring, automation, and agile development
- Experience with Microsoft platform/development technologies: .NET, SQL Server, Azure and related tools is a plus.
- Experience with SDLC methodologies and design/architecture aspects of project delivery.
- Pet, Chef, Ansible, code repo & version control, CI/CD Tools (Ex Git, Jenkins etc.)
Education:
BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
Bengaluru/Hyderabad/Pune/Chennai/Kolkata