A tech company is seeking a Data Engineer in Malvern, PA, for a 6+ months contract. The successful candidate will build and manage data pipelines to support marketing analytics and will require 3-5 years of experience with big data sets and 3+ years in data modeling. Familiarity with cloud technologies such as AWS or Azure is essential, along with a strong knowledge of scripting languages and analytics tools. Join our team to help create targeted customer experiences through data.
Qualifications
3 - 5 years of experience working with various Big data sets and designing semantic data layers.
3+ years’ experience in data modeling, building data warehouses, marts, and lakes.
Good understanding of lean principles, DevOps, CloudOps, DataOps.
Responsibilities
Build, manage, and operationalize data pipelines for marketing data and analytics.
Transform large and disparate data sets to create targeted customer audiences.
Interface with cross-functional teams and communicate systems issues appropriately.
Skills
Big data set handling
Data modeling
Cloud technologies
Scripting languages (Python, Spark, R, SQL, Scala)
Analytics tools (Tableau, Looker, Power BI)
Tools
AWS EMR
S3
Glue ETL
Cloud Formation
Splunk
Job description
Note: Need only Independent Consultants
Job Title: Data Engineer Location: Malvern, PA Duration: 06+ Months Contract
Job Description
Our client is currently seeking a Data Engineer.
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 use your knowledge of this data to inform data sets and schema designs for raw data collection, semantic data layer/product design, and Identity Resolution (IDR) and Customer Data Platform (CDP) schema design to power marketing activation, personalization and analytics use cases.
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 design and build data products that power company's digital and non-digital marketing and customer experiences.
You will interface with cross functional team members and communicate 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.
3 - 5 years of experience working with various Big data sets and designing semantic data layers to meet business use cases
3+ years’ experience in data modeling, building data warehouses, marts and lakes Marketing acumen and understanding of how to utilize customer interaction data for activation, personalization and analytics is preferred
Experience in cloud technologies and patterns (AWS, Azure, GCP)
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 experience with scripting languages and platforms such as Python, Spark, R, SQL, Scala, etc.
Familiarity with analytics reporting and visualization tools (Tableau, Looker, Power BI).