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