Data Engineer
Data Engineer
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Job Description
Job Description: Data Analysis & Preprocessing: Analyze large datasets clean and preprocess data for modeling and derive actionable insights. Model Development: Design develop and implement machine learning models to solve complex business problems. Algorithm Optimization: Optimize and tune models to improve performance and scalability. Data Pipeline Development: Develop and maintain scalable data pipelines for data extraction transformation using Kedro. Collaboration: Work closely with data engineers analysts and software developers to integrate models into production systems. Documentation: Prepare detailed documentation of workflows methodologies and results for future reference and reproducibility. Monitoring & Evaluation: Continuously monitor the performance of deployed models and improve them over time. Oracle SQL Queries : Write oracle queries and perform data analysis in tables by executing multiple queriesResponsibilities: Data Analysis & Preprocessing: Analyze large datasets clean and preprocess data for modeling and derive actionable insights. Model Development: Design develop and implement machine learning models to solve complex business problems. Algorithm Optimization: Optimize and tune models to improve performance and scalability. Data Pipeline Development: Develop and maintain scalable data pipelines for data extraction transformation using Kedro. Collaboration: Work closely with data engineers analysts and software developers to integrate models into production systems. Documentation: Prepare detailed documentation of workflows methodologies and results for future reference and reproducibility. Monitoring & Evaluation: Continuously monitor the performance of deployed models and improve them over time. Oracle SQL Queries : Write oracle queries and perform data analysis in tables by executing multiple queriesRequired Skills: Python Programming: Strong proficiency in Python with experience in libraries such as NumPy Pandas Scikitlearn Transformer TensorFlow and PyTorch. Machine Learning: Experience building and deploying machine learning models including supervised and familiarity with algorithms like regression decision trees clustering and deep learning. SQL: Expertise in writing and optimizing complex SQL queries to extract and manipulate data from relational databases. Data Wrangling: Experience in data manipulation data cleaning and transformation. Model Evaluation: Ability to evaluate model performance using metrics such as accuracy precision recall F1score and AUCROC. Data Visualization: Proficiency in data visualization tools such as Matplotlib Seaborn and Plotly for reporting insights. Version Control: Experience with Git or other version control systems for collaborative development. API Development: Experience with REST APIs and deploying machine learning models as microservices
Employment Type
Full-Time
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