Job Title: Dataiku Developer

Location:

Pune/Mumbai/Chennai/Hyd/Bangalore/Noida

Working Shift – Japan/Singapore time ( 7 AM IST to 4 PM IST)

About the Role:

We are seeking a skilled Dataiku Developer to join our data science workbench program team. The ideal candidate will design, develop, and deploy scalable data pipelines and advanced analytics and AI/ML solutions using the Dataiku platform. You will work closely with data scientists, engineers, and business stakeholders to enable data-driven decision-making.

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)
• Familiarity with cloud platforms (AWS or optionally Azure/GCP) and data storage technologies.
• Understanding of machine learning lifecycle and model deployment.
• Experience with REST APIs and integration tools.
• Strong analytical, problem-solving, and communication skills.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.

Preferred Qualifications:

• Experience with big data technologies like Hadoop, Spark, or Kafka and databases like Redshift, Snowflake or AWS S3.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience with CI/CD pipelines for data projects.
• Prior experience in agile development methodologies.