Pay Range: $50 - $55 per Hour
Job Description:
- Provide technical leadership across Python, Data Engineering, Data Science, and Machine Learning initiatives.
- Translate business and functional requirements into scalable technical solutions.
- Define the overall solution design, technical architecture, integration patterns, and implementation approach.
- Design and develop robust, scalable, reusable Python applications and data processing frameworks.
- Develop modular and maintainable Python code following software engineering best practices.
- Build reusable libraries, utilities, components, and frameworks for Data Science and ML applications.
- Perform data manipulation and large-scale data processing using libraries such as Pandas, NumPy ,PySpark.
- Build integration components using REST APIs, JSON, files, databases, and cloud services.
- Write efficient Python code for processing large datasets.
- Perform code reviews, debugging, performance Eligible to workimization, and production troubleshooting.
- Python libraries such as Pandas, NumPy and Scikit-learn remain foundational technologies for data manipulation and ML development.
- Review exploratory data analysis, feature engineering, model selection, training, validation, and evaluation approaches.
- Provide technical guidance for:
o Classification
o Regression
o Clustering
o Forecasting
o Anomaly detection
o Predictive analytics
- Build automation frameworks and utilities for data engineering processes.
- Lead and manage offshore data engineering teams.
Collaborate with business users, architects, and project managers.
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