Data Engineer - MLops - In-person Interview must

Location: Orlando, FL - 100% Onsite

Duration: Longterm contract

Only Locals

Onsite interview must

Job Knowledge: Python, sql, Tableau, MLOps, Data IKU :

• 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.

• 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