Need Dataiku Specialist-TX-Hybrid-10+ years

Dataiku Implementation Specialist 

Location: - Dallas,TX-Hybrid work

Duration : long term contract

 

 

 

JD:

 

We are looking for an experienced Dataiku Implementation Specialist with expertise in Python programming and data engineering to join our team. The successful candidate will play a critical role in implementing and optimizing Dataiku workflows, collaborating with data science and engineering teams, and ensuring the efficient deployment of machine learning solutions.

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Key Responsibilities

• Dataiku Platform Expertise:
• Lead the implementation, customization, and optimization of the Dataiku platform to support business needs.
• Develop workflows for data integration, transformation, and preparation using Dataiku's tools.
• Data Engineering & Analysis:
• Leverage Python, SQL, and other tools to perform complex data manipulations, cleaning, and analysis.
• Design and manage data pipelines, ensuring scalability and performance.
• Machine Learning Support:
• Assist in deploying and managing machine learning models within Dataiku in a collaborative environment.
• Optimize model performance and workflows to align with business objectives.
• Collaboration & Communication:
• Work closely with data scientists, engineers, and business stakeholders to understand requirements and deliver solutions.
• Provide training and support to teams to maximize the value of the Dataiku platform.
• Problem-Solving:
• Address technical challenges related to data workflows, troubleshooting issues, and ensuring seamless execution of projects.

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Required Skills and Qualifications

• Experience:
• 3-5 years of experience in data engineering, data science, or a related field, with hands-on experience in Dataiku.
• Technical Expertise:
• Proficiency in Python for data manipulation, scripting, and integration.
• Strong knowledge of SQL and data integration techniques.
• Familiarity with R is a plus.
• Data Management:
• Expertise in data preparation, transformation, and integration processes.
• Machine Learning:
• Experience in deploying and managing machine learning models in collaborative and production environments.
• Soft Skills:
• Excellent communication and interpersonal skills to work effectively with diverse teams.
• Strong analytical and problem-solving skills with great attention to detail.
• Education:
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

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Preferred Skills

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with data governance frameworks and practices.
• Exposure to banking and finance sectors.

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