Description

Qualifications & Experiences:

  • Bachelor's degree in computer science, information systems, or information technology.
  • 9 + years of experience in data engineering
  • Strong scripting and coding skills using languages: Python, Scala etc.
  • Experience in Conceptual/Logical/Physical Data Modelling & expertise in Relational and Dimensional Data Modelling
  • Advanced SQL knowledge & performance tuning & cost optimization of complex SQL’s
  • Strong experience with MPP databases - Snowflake
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
  • Experience with AWS cloud services – Glue, Athena, Quick sight, Kinesis, Lambda, IAM Policies
  • Experienced in software delivery through continuous integration & automated deployments (for example git, bitbucket, Jenkins, etc.)
  • Strong Experience with data pipeline and workflow management tools e.g., Airflow, Redwood
  • Experience with Atlassian Suite (JIRA, Confluence)
  • Experience using and creating APIs.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Champions the capabilities and benefits of analytical data assets. Partner effectively across departments and stakeholders
  • Must be comfortable working in a Linux/Unix environment

Education

Bachelor's degree