Description

Manage the Dataiku platform and build end-to-end data pipelines to support analytical requirements. Design, implement, and maintain workflows while optimizing complex SQL queries and stored procedures for data integration. Develop ETL processes to connect disparate sources, including databases, cloud storage, and APIs. Collaborate with data scientists to integrate machine learning models into Dataiku workflows. Troubleshoot workflows and datasets, perform data quality validation, and document technical processes for knowledge sharing.

Responsibilities

• Design, implement, and maintain data pipelines and workflows using Dataiku.
• Write and optimize complex SQL queries, stored procedures, and views to support data integration.
• Develop ETL processes to integrate data from disparate sources, including databases, cloud storage, and APIs.
• Collaborate with data scientists to integrate machine learning models into Dataiku workflows.
• Troubleshoot Dataiku workflows, datasets, and connections while performing data quality validation.

Required Skills

• 5+ years of experience in application development with a focus on Dataiku and SQL.
• Expertise in Dataiku platform management and pipeline design.
• Advanced SQL skills for complex query optimization and database tuning.
• Proficiency with Python.
• Hands-on experience with ETL processes and data integration techniques.
• Understanding of data science and machine learning model integration.
• Bachelor’s degree in Computer Science.
• Proven ability to manage large-scale data projects in an enterprise environment.

Preferred Skills

• Experience with data visualization and reporting tools.

Key Skills

Education

Bachelor’s degree in Computer Science