Data Engineer With data science exposure

Job Title: Data Engineer With data science exposure
Job Location: Orlando Florida
Job Type: Contract

Job Description:

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.

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.

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.

Job Responsibilities:

Monitor and maintain operational readiness and reliability of the MGM machine learning and ETL operational systems

Develop automated processes and technical documentation

Partner with platform vendors in-house support teams Marketing partners and other stakeholders to coordinate issue resolution and maintain strong working relationships.

Assess prioritize and manage reported issues based on business impact operational urgency and alignment with MGM and departmental partner needs.

Communicate expected resolution timelines progress updates and closure status to ensure stakeholders remain informed throughout the support process.

Evaluate and improve the teams data ETL process for modeling by:

Reviewing current workflows dependencies and pain points

Identifying opportunities to streamline standardize and centralize data movement

Developing a more scalable reliable process that supports modeling and downstream analytics needs

Relevant Skills:

SQL Python Dataiku Tableau

Understanding and exposure to data science and Machine learning/random forest modeling etc.

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