Data Engineer

Data Engineer

Orlando, 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 teams

Education

• Master's degree in data science, Computer Science, Engineering, or related quantitative field

• Bachelor's degree in technology, Engineering, or equivalent

Key Responsibilities:

Data Pipeline Development & ETL

Marketing & Analytics Support

Collaboration & Stakeholder Management

Environment & DevOps Support

Technical 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 testing

Please share your resume ASAP