Description

Job Description:

· Collaborate with the Data Modeler team to model and map data as required by defined use cases

· Build unified data graphs based on requests from internal consumers

· Manage and maintain existing data graphs Near- Term Priorities (First 30 Days)

· Transition several existing data graphs currently maintained by another team that are in active production use

· Potentially re-map backend data sources for those data graphs from outgoing/retiring sources to new sources Required Skills & Qualifications

· Strong experience in data engineering, ETL (preferably Informatica), and data architecture

· Experience working with Salesforce platforms and data models

· Hands-on experience with Airflow and MuleSoft

· Strong SQL skills with Snowflake and other relational databases

· Experience writing complex Python modules for custom ETL workflows

· Expertise in building batch and real-time data pipelines

· Experience with dbt for data transformation and modeling

· Familiarity with AWS/GCP and distributed/event-driven architectures

· Strong understanding of data modeling, data warehousing, and big data processing

· Experience with data quality, monitoring, and pipeline orchestration frameworks

· Ability to work closely with Product, Data Science, and Analytics teams

· Experience working on Salesforce Flows and Apex is a plus Job Description Summary Roles Needed: Senior Data Engineer, Data Modeler / Architect. The supplier will stand up a new team within UKS focused on building and maintaining data graphs derived from Data 360. Engineers will manage graph transitions from retiring teams, re-map backend sources as needed, and serve internal consumers who rely on just-in-time context and insights

Key Skills

Education

Any Graduate