Deloitte | India Offices of the US

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: Senior Consultant

As a Senior Consultant 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. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. 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.

 

Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.

 

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 technology Consulting experience 

• A minimum of 2 Years of experience designing and developing Big Data Solutions on Hadoop technology platform 

• Ability to translate business requirements and technical requirements into technical design 

• Good knowledge of end to end project delivery methodology implementing Big Data projects 

• Deep technical understanding of distributed computing and broader awareness of different Hadoop distributions 

• Experience designing Solution architectures for different use cases with Hadoop and ecosystem tools 

• Strong UNIX operating system concepts and shell scripting knowledge 

• Hands-on experience using Hadoop (preferably Hadoop 2 with YARN), MapReduce, R, Pig, Hive, Sqoop, and HBase 

• Exposure to search tools such as Elastic Search and Lucene 

• Extensive Experience in object-oriented programming through JAVA, including optimizing memory usage and JVM configuration in distributed programming environments 

• Exposure to metadata management techniques within Hadoop technology architecture 

• Ability to operate independently with clear focus on schedule and outcomes 

• Proficient with algorithm development, including statistical and probabilistic analysis, clustering, recommendation systems, natural language processing, and performance analysis 

• Understanding of machine learning frameworks like Mahout and data mining algorithms like Bayesian and Clustering 

• Experience with building APIs for provisioning data to downstream systems by leveraging different frameworks 

• Production Experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm 

• Exposure to different NoSQL databases within Hadoop ecosystem 

• Exposure to public, private, and hybrid cloud platforms such as AWS, Azure and Google 

• BE/B.Tech/M.C.A./M.Sc  degree or equivalent from accredited university   

• Bengaluru/Hyderabad/Pune/Chennai/Kolkata