Deloitte Data Engineer - Experience Management in San Jose, California
Preferred Locations: New York, NY | Greensboro, NC | Chicago, IL | Raleigh, Durham, Chapel-Hill, Charlotte, NC
In today's world, customers expect companies to know who they are and what they want. Customers want to have products, services or experiences that best suit their needs delivered to them seamlessly across physical and digital channels.
Customers are human first: driven by dynamic wants, needs, and desires. The ability for brands to make personal, meaningful connections on a human level has never been greater and Hux by Deloitte Digital delivers on those experiences in a way that allows companies to own the customer journey end to end.
Hux is the Human Experience Platform by Deloitte Digital. We help companies connect key data sources to understand what matters most to people; connect to advanced technologies like AI and machine learning to sense and respond to those needs at scale; and connect their systems to unlock insights, create collaboration and drive acquisition, engagement and loyalty. Most importantly, we empower companies to connect with customers in personal, meaningful ways that respect them as people, not just customers.
Hux by Deloitte Digital gives companies the ability to build and leverage the connections - between people, systems, data and technologies - so they can deliver personalized, contextual experiences to customers at scale.
We are seeking to transform the way brands interact with their customers and elevate the human experience.
Work you'll do
As a Data Engineer, you'll perform the technical implementation of customer data platforms (CDPs) and serve as a key player as it relates to data management.
Your responsibilities will include:
Interface with clients to gather requirements, map solutions, and make recommendations
Lead customer project conference calls or interface with project manager
Create technical specifications to drive development of the solution
Deliver technical specifications documents for customer review
Design custom development solutions that meet customer requirements
Progress through full development lifecycle for custom solution
Deploy new solutions to production environments
Maintain and support new and existing solutions and frameworks
Innovate on new ideas to solve customer needs and assist to market internally new solutions
Provide project estimates and timelines to drive new business
Partnership and collaboration with sales and other internal teams
Teaming with engagement managers to communicate project status, risk and issues to clients as appropriate
Engaging cloud solution engineers and other domain-specific SMEs (Adobe, Salesforce, Oracle, Google and similar) to support platform implementation as needed
Coordinating Testing/SIT/UAT activities as required by project scope and team structure
Unify disparate data sources in initial phase of engagements
Vet, type check, transform data sources before consumption by data scientists
Build automation between engagements to ease the above, in collaboration with our product engineers
Advertising, Marketing & Commerce
Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients' brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients' marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.
We serve our clients through the following types of work:
Cross-channel customer engagement strategy, design and development (web, mobile, social, physical)
eCommerce strategy, implementation and operations
Marketing Content and digital asset management solutions
Marketing Technology and Advertising Technology solutions
Marketing analytics implementation and operations
Advertising campaign ideation, development and execution
Acquisition and engagement campaign ideation, development and execution
Agile based, design-thinking, user-centric, empirical projects that accelerate results
3+ years experience in ETL development using Big Data Technologies
3+ years experience in building large-scale data processing projects using cloud technologies
3+ years experience with data modeling and tuning of relational as well as NoSQL datastores
Experience with Programming and Scripting Languages (.NET, Python, Powershell, Java, Batch, Bash and similar)
Industry experience as a data engineer or related specialty (software engineer, application developer)
Experience building/operating highly scalable, fault tolerant, distributed systems for extraction, ingestion and processing of large data sets
Experience with software engineering best-practices, including but not limited to version control, CICD, automated unit testing
Experience using cloud-native tools and design patterns
Degree in computer science, engineering, or relevant industry experience
Excellent interpersonal skills and the ability to articulate complex technology concepts with technical and non-technical individuals
Ability to approach a technical solution to solve for challenges from a business perspective
Understanding and experience working with customer centric data and how to define uses for this data to enable business goals
Understanding of the full SDLC process
Travel up to 25% (while up to 25% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice)
Limited immigration sponsorship may be available
Experience and knowledge with marketing cloud solutions
Experience and knowledge with web analytics or digital marketing
Experience working with public cloud offerings (AWS, Azure, Google Cloud Platform, and similar)
GCP - (Cloud Functions, Composer, SQL, Storage, Dataproc, Datastore, Kubernetes, Big Query, Stackdriver, Pub/Sub)
AWS - (Lambda, Glue, Data Pipeline, Redshift, Aurora, Athena/Spectrum, S3/Glacier, Fargate, Cloud Watch, Kinesis)
Azure - (Functions, Batch, Blob Storage, Data Warehouse, Data Factory, Containers, Monitor, Service Bus)Experience and knowledge with data science, ML/AI, R, or Jupyter
Experience and knowledge with data science, ML/AI, R, or Jupyter
Experience and knowledge with customer data platforms or demand side platforms
Experience as an enterprise technical or engineer consultant
Experience using C#, Java or Python
Experience with Martech/Adtech tools and how to integrate technologies into the data management solution. (Adobe, Salesforce, Oracle, Google, and similar)
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.