Key Responsibilities: Design, develop, extend and maintain end-to-end data workflows and pipelines in Dataiku DSS. Collaborate with data scientists and analysts to operationalize machine learning models. Leverage Generative AI models and tools within Dataiku to build advanced AI-powered applications and analytics solutions. Integrate Dataiku with various data sources (databases, cloud storage, APIs). Develop and optimize SQL queries and Python/R scripts for data extraction and transformation across relational and NoSQL databases Work extensively with cloud data warehouses like Amazon Redshift and/or Snowflake for data ingestion, transformation, and analytics. Implement automation and scheduling of data workflows. Monitor and troubleshoot data pipelines to ensure data quality and reliability. Document technical solutions and best practices for data processing and analytics. Required Skills and Qualifications: Proven experience of 4+ years working with Dataiku Data Science Studio (DSS) in a professional environment. Strong knowledge of data engineering concepts, ETL/ELT processes. Proficiency in Python and/or R for data manipulation and automation. Solid SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle)
Job Title
Technical Lead