Dataiku Developer
Dataiku Developer
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Job Description
Job Title: Dataiku Developer
Location:
Pune/Mumbai/Chennai/Hyd/Bangalore/Noida
Working Shift Japan/Singapore time ( 7 AM IST to 4 PM IST)
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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.
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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.
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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.
Bachelors degree in Computer Science Engineering Data Science or related field.
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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.
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Employment Type
Full-time
