Job Title: Consulting-SA&MA-Analytics and Cognitive-GCP

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte’s SA&MA: Analytics & Cognitive (SA& MA A&C) practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice

Position #1 – Data Migration: Looking for GCP Cloud Migration experts

Experience with hybrid cloud deployment and on-premise to GCP migration deployment

Candidates must have worked on migrating S4 HANA to Big Query, SQL DW to Big Query

Datastores like Redis, Postgres, MongoDB, ElasticSearch

Experience with CICD – Experience with Ansible and Terraform

Position #3 – Data Scientists worked on Google Cloud (Vertex AI)

Expert in model building esp Time series model

Expert in Vertex AI

Expert in MLOps

Worked on Financial vertical (Credit risk modelling experience preferable)

Requirement #4 – GCP Architect / GCP Senior Developer / GCP Data Engineer

Senior Consultant: ( Min 3 years experience in GCP; Total years can be from 6 to 10)

• Experience in architecting, designing, developing and implementing enterprise scale data pipelines on Google Cloud. Work with team leads in defining solutions for development.
• Strong understanding of GCP capabilities and limitations
• Experience working with GCP Big Query, Cloud Storage, Pubsub, Dataflow/Dataproc, Cloud Sql, Cloud Airflow/composer, Big Table
• Good understanding and hands on experience of Data Engineering principles – Data warehousing, ETL processes.
• Hands on experience on Python/ Java/ SQL and shell scripting for data processing

Position #5 – Google Looker and SQL ( Consultants and Senior Cons only )

Expert in Google Looker (Business Intelligence platform)

Expert in SQL Queries, Views, Stored Procedure

Developing dashboards for measures with forecast, trend line, reference lines and use of different charts

Understanding Data, Data Modeling and Data Warehousing