Artificial Intelligence & Engineering
Position Summary
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.
Work you’ll do:
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.
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:
- AWS Glue - Python, Big Data – Pyspark, Control-M – ETL Batch job implementation stack
- 6-9 years of full stack software development with an emphasis on architecting, designing, implementing, testing and delivering highly scalable web and client/server solutions.
- 6-9 years of experience in Data Engineering development
- Kinesis, Kafka, SNS – Real time message processing
- AWS Aurora, Dynamo, S3 – Data Storage
- AWS IAM, Cloud formation, Bamboo – Infra as code and CI/CD
- Lambda, Step function – Orchestration
- Secondary Skills:
- CloudWatch, Event Bridge, Amazon EKS, Honeycomb, Redshift, AWS ALB
Good to Have Skills/Project Experience/Certifications:
- Prior experience with Database administration & migration, & modernization in AWS Cloud
- Data Modelling and designing
- Experience writing SQL/Functions/Procedures in transactional database systems such as Oracle, SQL Server, DB2
- Extensive expertise in building CI/CD pipelines, containers, AWS and IaC
- Understanding of ALC, DB2 mainframe database
- Demonstrated project experience and skills in information requirements gathering, current state analysis, building data models, data architecture and data management process definition
- Experienced in creating polished high- and low-level design documentation, to facilitate the development cycle
- Extensive experience leading development teams to provide technical deliverables in accordance with SDLC methodologies such as SCRUM and Agile
- Great experience with performing code reviews and recommending automated review tools
- Experience with mentoring others in development technologies, processes, and tools
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
- Bengaluru/Hyderabad/Pune/Chennai/Kolkata.