Data Engineer with MLOps and DataIku

Data Engineer with MLOps (Machine Learning Operations) experience
Orlando, FL (Onsite)
Duration: 3-6 Months Contract
Interview Process: Phone, Video, Inperson Interview

MUST HAVE Mandatory skills:
Dataiku, Python, SQL, Tableau, MLOps

Job Knowledge:
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 Analysis (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 as 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.

Salary : $55