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Associate Data Scientist

4 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Area(s) of responsibility

Job Title: Dataiku Developer

Location:

Pune/Mumbai/Chennai/Hyd/Bangalore/NoidaWorking 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.

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