AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Google Cloud Platform - Data Engineer
Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our clients journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloittes Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed.
You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services (GCP), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist.
Work youll do
As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.
In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through:
architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more.
The key responsibilities may involve some or all of the areas listed below:
Act as a trusted technical advisor to customers and solve complex Big Data challenges.
Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Identifying new tools and processes to improve the cloud platform and automate processes
Qualifications Technical Requirements
BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience.
Experience in Cloud SQL and Cloud Bigtable
Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics
Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer
Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume).
Experience working with technical customers.
Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript.
Consulting Requirements
6-9 years of relevant consulting, industry or technology experience
Strong problem solving and troubleshooting skills
Strong communicator
Willingness to travel up in case of project requirement
Preferred Qualifications
Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
Experience in technical consulting.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have)
Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow).
Working knowledge of ITIL and/or agile methodologies
Our purpose
Our people and culture
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Benefits to help you thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financiallyand live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
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