The National Office, a key Strategic Enabler in our new model, is comprised of professionals with various areas of focus that collectively provide mission critical services to support Deloitte’s overall success. Whether focused on project financial, quality and risk management, methods and tools, sales excellence, talent, leadership support, or other activities these professionals ensure that our Firm operates efficiently, and our people are able to effectively serve clients every day.
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
Do you have a passion for technology and solving problems? Do you want to help teams deliver the best software solutions? Do you enjoy working with a diverse team of professionals? Our Engineering team unleashes state-of-the-art tools and technologies to enable multiple teams to deliver high quality solutions to our customers.
Deloitte Innovation & Delivery Transformation is looking for a Data Engineer with GenAI experience to help our teams build cloud-based applications that excite our customers. You will shape and deliver on our asset strategy by performing the following tasks:
The team
Offering customer-tailored services and deep industry insights, at Deloitte Consulting LLP we help clients tackle their most complex challenges enabling them to seize new growth opportunities, reduce costs, improve efficiency and stay ahead of customer demand. Developing and executing our clients’ strategic vision, we help them dramatically improve their business performance across a broad range of specialties – enterprise model design, global business services, outsourcing, real estate, and location strategy.
Qualifications
Required:
- 3 to 5 years of experience in Data Engineering principles.
- Proficient in data warehousing concepts.
- Experienced with ETL (Extract, Transform, Load) processes.
- Skilled in SQL and handling data in JSON and other semi-structured formats.
- Hands-on experience with Python for data processing tasks.
- Experience with Big Data technologies on cloud platforms such as AWS or Cloudera.
- Working experience on the AWS cloud platform.
- Skilled in building AWS data pipelines with Lambda, S3, Athena, Kinesis, and related services.
- Proficient in performance tuning on various RDBMS (Relational Database Management Systems) such as Oracle, SQL Server, Redshift, Impala, etc.
- Good understanding of dimensional, relational, or hybrid data modeling.
- Experience with CI tools such as Jenkins.
- Proficient with GIT version control systems.
- Familiar with issue tracking tools like JIRA.
- Familiar with Agile development methodologies.
Preferred:
- Experience in Generative AI.
- Implemented RAG methods to enhance data retrieval and relevance of generated content.
- Integrated RAG models with existing data pipelines to optimize information retrieval processes.
- Utilizing vector databases for efficient storage and retrieval of high-dimensional data.
- Knowledge on vector search algorithms to enhance the performance of AI-driven applications.
- Experience with deploying and fine-tuning large language models for various NLP tasks.
- Integrated LLMs into data processing workflows to automate and enhance data analysis.
- Knowledge on LangChain for building and managing complex data workflows.
- Experience in scalable data pipelines using LangChain to streamline data processing and integration tasks.
- Implementation experience to reduce data processing times by optimizing ETL workflows and leveraging cloud-native solutions.
Good to Have Skills/Project Experience/Certifications:
- Familiarity with recommended skillsets is a plus.
- Strong verbal and written communication skills
Education:
- B.E./B.Tech/M.C.A./M.Sc.
Location:
- Hyderabad/Bengaluru/Mumbai/Gurgaon/Kolkata/Chennai/Pune
#CS-IDT