Data Engineer

Skills

Description

• Hands on development and support of new or existing data applications.

• Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design

• Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.

• Provide technical guidance to the team for implementing complex data solutions.

• Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.

• Maintain detailed documentation to support downstream integrations

• Provide support for production issues

• Performs activities of a scrum master

• Identify technology trends and explore opportunities for use within the organization

Responsibilities

• • Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects
• • Ability to effectively work well with people in other departments and/or outside of the enterprise.
• • Proficient in SQL.
• • Experience working within Azure ecosystem
• • Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers
• • Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse
• • Experience using Python or Scala.
• • Experience in Azure DevOps and Github is preferred
• • P&C Insurance experience is preferred
• • Possesses excellent communication skills.
• • Bachelor’s degree in computer science or related engineering field preferred.