Data Engineer

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 interfaces with the project manager
• Create technical specifications to drive the 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 a 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

• 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 technical 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
• Limited immigration sponsorship may be available

Preferences:

• 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 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)