What makes you a great fit:

• Create and maintain optimal data pipeline architecture
• Minimum 6 years Exp in Data Engineer, 3yrs in Azure Data Factory, Pyspark, Databricks
  
• Knowledge on Data Modelling, Data warehouse, and Data Analysis is also required.
• Design and develop Data Warehouse solutions
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud-based technologies.
• Migrate on-prem processes from back office systems to the Cloud (Azure or Salesforce).
• Configure analytics tools that utilize the data pipeline to provide actionable insights into quality, operational efficiency and other key metrics.
• Work with stakeholders including the Product, Data, Finance, and Software Engineering teams to assist with data-related technical issues and support their data needs.
• Keep data separated and secure
• Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products.
• Work with data and analytics experts to strive for greater functionality in our data systems.