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::::::::::::: Data Engineer with Feature Engineering ::::::::::: Remote at Remote, Remote, USA

http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2025953&uid=

Role: Data Engineer with Feature Engineering
Location: Remote
Long term Project

Key Responsibilities:
Position Overview: As a Feature Engineering Specialist with expertise in Databricks, you will be pivotal in enhancing data quality and extracting meaningful features from raw data to boost the performance of predictive models on the Databricks platform. Collaborating closely with data scientists and machine learning engineers, you will leverage your deep understanding of Databricks unified analytics platform to streamline workflows and implement advanced feature engineering techniques.
Key Responsibilities:
Data Analysis and Preprocessing on Databricks:
Utilize Databricks for analyzing large datasets, identifying patterns, and correlations.
Employ Databricks data handling capabilities to clean, normalize, and preprocess data efficiently.
Address missing data, outliers, and anomalies using Databricks robust data processing tools.
Feature Development in Databricks Environment:
Design and engineer new features using Databricks collaborative notebooks and MLflow for tracking experiments.
Innovate feature engineering strategies by leveraging Databricks Delta Lake for high-quality data storage.
Apply feature selection and dimensionality reduction directly within the Databricks ecosystem to optimize model training.
Collaboration and Strategy Implementation:
Integrate feature engineering processes with Databricks collaborative and interactive workspace.
Work closely with stakeholders to understand business objectives and leverage Databricks for scalable data solutions.
Ensure seamless integration of feature engineering outputs with machine learning pipelines on Databricks.
Testing and Optimization on Databricks:
Leverage Databricks for setting up scalable testing frameworks to validate new features.
Use Databricks capabilities to continuously refine features and optimize data pipelines for performance and efficiency.

Thanks & Regards,

Dushyant Som

Talent Acquisition Specialist
Email: [email protected]
Crox Consulting Inc.

www.thecroxgroup.com

______________________________________________________________________
RPO Solutions || Staffing Solutions || IT Solutions ||
______________________________________________________________________

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Keywords: information technology
::::::::::::: Data Engineer with Feature Engineering ::::::::::: Remote
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2025953&uid=

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12:31 AM 19-Dec-24

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dushyant.som@croxconsulting.com wrote:
Role: Data Engineer with Feature Engineering   
Location: Remote
Long term Project

Key Responsibilities:
Position Overview: As a Feature Engineering Specialist with expertise in Databricks, you will be pivotal in enhancing data quality and extracting meaningful features from raw data to boost the performance of predictive models on the Databricks platform. Collaborating closely with data scientists and machine learning engineers, you will leverage your deep understanding of Databricks unified analytics platform to streamline workflows and implement advanced feature engineering techniques.
Key Responsibilities:
Data Analysis and Preprocessing on Databricks:
Utilize Databricks for analyzing large datasets, identifying patterns, and correlations.
Employ Databricks data handling capabilities to clean, normalize, and preprocess data efficiently.
Address missing data, outliers, and anomalies using Databricks robust data processing tools.
Feature Development in Databricks Environment:
Design and engineer new features using Databricks collaborative notebooks and MLflow for tracking experiments.
Innovate feature engineering strategies by leveraging Databricks Delta Lake for high-quality data storage.
Apply feature selection and dimensionality reduction directly within the Databricks ecosystem to optimize model training.
Collaboration and Strategy Implementation:
Integrate feature engineering processes with Databricks collaborative and interactive workspace.
Work closely with stakeholders to understand business objectives and leverage Databricks for scalable data solutions.
Ensure seamless integration of feature engineering outputs with machine learning pipelines on Databricks.
Testing and Optimization on Databricks:
Leverage Databricks for setting up scalable testing frameworks to validate new features.
Use Databricks capabilities to continuously refine features and optimize data pipelines for performance and efficiency.

Thanks & Regards,

Dushyant Som

Talent Acquisition Specialist
Email: -dushyant.som@croxconsulting.com
Crox Consulting Inc.

www.thecroxgroup.com

______________________________________________________________________
RPO Solutions || Staffing Solutions || IT Solutions ||
______________________________________________________________________

Keywords: information technology 
::::::::::::: Data Engineer with Feature Engineering ::::::::::: Remote
dushyant.som@croxconsulting.com

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