Data Engineer

Data EngineerOrlando, FL (On-site / Hybrid)Experience• 12+ years of professional experience in data engineering, data science, or related roles• Demonstrated experience in designing and deploying ETL/ELT pipelines at scale• Experience working in cross-functional enterprise environments with marketing, analytics, or client-facing teamsEducation• Master's degree in data science, Computer Science, Engineering, or related quantitative field• Bachelor's degree in technology, Engineering, or equivalentKey Responsibilities:Data Pipeline Development & ETLMarketing & Analytics SupportCollaboration & Stakeholder ManagementEnvironment & DevOps SupportTechnical Skills• Languages: Python (NumPy, Pandas, SciPy), SQL, Snow-SQL• Cloud & Data Warehousing: AWS (S3, EC2), Snowflake, Hive• Operating Systems: Linux/Unix — proficient with terminal commands, shell scripting, environment configuration, and job management• Data Visualization: Tableau, Matplotlib, Seaborn, Plotly• ML & Analytics: XGBoost, CatBoost, Logistic Regression, ARIMA/SARIMA, Prophet• Methodology: Agile / Scrum, OKRs, code reviews, unit testingPlease share your resume ASAP