Job Description

Country/Region: IN
Requisition ID: 27163
Work Model:
Position Type:
Salary Range:
Location: INDIA - BENGALURU - BIRLASOFT OFFICE

Title:

Associate Data Scientist

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Description:

Area(s) of responsibility

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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.