Description

Key Skills: Neo4j, Graphql, Azure, Azure ADF, Data Engineer, Azure Databricks

Roles and Responsibilities:

  • Act as the Data Architect to ensure the delivery of all commitments on time and in high quality.
  • Manage the data model and schema.
  • Work closely with product and engineering teams to provide evaluation and recommendations of design patterns and solutions for data platforms.
  • Focus on Graph-based CDP, ETL, and Lambda architectures.
  • Provide technical inputs to agile processes, including epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements.
  • Collaborate with Marcel's data, product, and engineering teams to deliver on all requests pertaining to Data, Features, Graph Schema, Feeds and Integrations, Data Science Models, and other data management-related requirements.
  • Ensure successful end-to-end delivery of features, managing all data lifecycle events correctly and implementing SLAs as required.
  • Drive the Data and Engineering team to deliver feature requirements from inception to production.

Skills Required:

  • Proficiency in Azure cloud services and Azure ADF
  • Strong knowledge of Neo4j and GraphQL
  • Experience with Azure Databricks and ETL pipelines
  • Understanding of Graph-based CDP and Lambda architecture
  • Ability to manage data models and schema design
  • Strong collaboration skills with product and engineering teams

Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Education

Any Graduate