· Demonstrate expert data engineering skills supporting workflow automation using tools such as Apache Airflow, Databricks, or Azure Data Factory or ML platforms such as Dataiku or DataRobot.
· Ability to research, analyze and resolve operational issues such as run-time failures, long-running job execution and/or platform errors in a timely manner.
· Provide Root Cause analyses (RCA) to identify and proactively prevent future issues.
· Expert experience working with large volumes of data to include integration and cleansing.
· Knowledge of production support concepts such incident reporting, testing, debugging, monitoring, and audits.
· Skill in creating and maintaining technical documentation to include run book creation for routine or repeatable operations, code annotation, and other asset documentation.
· Strong knowledge of SQL, and Python (3+ years). Snowflake SQL experience preferred.
· Familiarity leveraging ML algorithms such as Decision Trees, Logistic
· Regression, Random Forest and XGBoost using an ML platform and/or an IDE such as Spyder or PyCharm.
· Working knowledge of Tableau Desktop/Server.
Relevant Skills:
· SQL, Python, Dataiku, Tableau
· Ability to develop effective working relationships
· Possessing excellent interpersonal skills to include teamwork, facilitation, and negotiation
· Ability to work independently or as part of a team to resolve issues
· Effective written and verbal communication skills
· Demonstrate an ability to work under pressure, manage competing priorities and meet or exceed expectations regarding issue identification, resolutions and communication
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