AWS Big Data Engineer

This role supports the MarTech Data Platforms Engineering Pillar, with a focus on the delivery of customer marketing data, capabilities, and
products supporting the MarTech roadmap. As a Data Engineer, you will be responsible for building, managing and operationalizing data pipelines in
support of key marketing data and analytics use cases, curating datasets and operationalizing data delivery for production level deployments.

• You will work with the team and the business to develop a comprehensive understanding of customer and marketing data requirements, including how data is created,
collected, and consumed across Vanguard’s marketing divisions. You will implement data products that power Vanguard’s digital and non-digital marketing and customer
experiences.

• You will transform large and disparate data sets into rocket fuel of marketers to create highly targeted customer audiences for personalized customer experiences.

• You will interface with cross functional team members, and communicates systems issues at the appropriate technical level for each audience.
Is highly functional on large, matrixed project teams. Interfaces with cross functional team members,
including database administrator, IT security, project manager, technical writer, and clients. Communicates systems issues at the appropriate
technical level for each audience.

• You will demonstrate willingness and enthusiasm for learning and experimenting with new technology, tools and processes and setting Vanguard-wide standards.

• You will maintain flexibility in meeting deadlines and expectations in the face of shifting priorities

• 2 years of experience working with various Big data sets and developing data products to meet business use cases •
Some prior experience in marketing or MarTech is preferred

• Experience in cloud technologies and patterns (AWS, Azure, Google Cloud Platform)

• Worked on related Big Data technologies (AWS EMR, S3, Glue ETL, Cloud Formation templates, Cloud Watch Logs, Splunk, Ansible, etc.)

• Good understanding of lean principles, including Shift left, DevOps, CloudOps, DataOps, continuous delivery; must have experience with Maven,
Cucumber testing, Bamboo, git,

• Strong understanding of the use and application of NGA tools, web-services, etc.

• Familiarity with data streaming services such as Flume, Kafka, AWS Kinesis, etc. preferred

• Strong experience with scripting languages and platforms such as Python, Spark, R, SQL, Scala, etc.

• Experience with using APIs and microservices for managing data such RESTful APIs, AWS Lambda, web services, etc. on AWS. Use and application of
API Management technologies, such as Kong Gateway (preferred), AWS API Gateway,