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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, xywuqvp 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
Languages
- English
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